{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T03:53:32Z","timestamp":1777866812951,"version":"3.51.4"},"reference-count":152,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:00Z","timestamp":1777507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:00Z","timestamp":1777507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000193","name":"International Development Research Centre","doi-asserted-by":"publisher","award":["110469-001"],"award-info":[{"award-number":["110469-001"]}],"id":[{"id":"10.13039\/501100000193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020171","name":"Foreign, Commonwealth & Development Office","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100020171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"French Embassy in Ghana"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Univ Access Inf Soc"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1007\/s10209-026-01342-7","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T09:24:15Z","timestamp":1777541055000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Speech enhancement techniques for hearing aids: a systematic review"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9023-1618","authenticated-orcid":false,"given":"Prince Dawson","family":"Tetteh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8087-5207","authenticated-orcid":false,"given":"Rose-Mary Owusuaa","family":"Mensah Gyening","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4533-5365","authenticated-orcid":false,"given":"Juliet","family":"Arthur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9949-3823","authenticated-orcid":false,"given":"Justice Agyemang","family":"Owusu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9653-171X","authenticated-orcid":false,"given":"Betty Agyei","family":"Kponyo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0810-1055","authenticated-orcid":false,"given":"Emmanuel","family":"Ahene","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0584-6673","authenticated-orcid":false,"given":"Jerry John","family":"Kponyo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,30]]},"reference":[{"issue":"10","key":"1342_CR1","doi-asserted-by":"publisher","first-page":"646","DOI":"10.2471\/BLT.19.224683","volume":"97","author":"BO Olusanya","year":"2019","unstructured":"Olusanya, B.O., Davis, A.C., Hoffman, H.J.: Hearing loss: rising prevalence and impact. Bull. World Health Organ. 97(10), 646\u2013646A (2019). https:\/\/doi.org\/10.2471\/BLT.19.224683","journal-title":"Bull. World Health Organ."},{"key":"1342_CR2","doi-asserted-by":"publisher","unstructured":"Souza, P.: Speech perception and hearing aids. In G. R. Popelka, B. C. J. Moore, R. R. Fay, & A. N. Popper (Eds.), Hearing aids (Vol. 56, pp. 151\u2013180). Springer. (2016). https:\/\/doi.org\/10.1007\/978-3-319-33036-5_6","DOI":"10.1007\/978-3-319-33036-5_6"},{"key":"1342_CR3","doi-asserted-by":"publisher","unstructured":"Mustafa, M., Krishnamurthy, A.: A comprehensive review on real-world challenges faced by hearing aid users and innovative solutions for background noise-from lab to life. Egypt. J. Otolaryngol. 41(62) (2025). https:\/\/doi.org\/10.1186\/s43163-025-00814-6","DOI":"10.1186\/s43163-025-00814-6"},{"key":"1342_CR4","doi-asserted-by":"publisher","unstructured":"Auerbach, B.D., Gritton, H.J.: Hearing in complex environments: Auditory gain control, attention, and hearing loss. Front. NeuroSci. 16 (2022). Article 799787 https:\/\/doi.org\/10.3389\/fnins.2022.799787","DOI":"10.3389\/fnins.2022.799787"},{"key":"1342_CR5","unstructured":"Salmi, A.: Hearing aids: Technological advancements, efficacy, and impact on hearing-impaired individuals. SAERA - School of Advanced Education, Research and Accreditation (2024)"},{"issue":"5","key":"1342_CR6","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.3758\/s13414-015-0882-9","volume":"77","author":"AW Bronkhorst","year":"2015","unstructured":"Bronkhorst, A.W.: The cocktail-party problem revisited: Early processing and selection of multi-talker speech. Atten. Percept. Psychophys. 77(5), 1465\u20131487 (2015). https:\/\/doi.org\/10.3758\/s13414-015-0882-9","journal-title":"Atten. Percept. Psychophys."},{"issue":"7","key":"1342_CR7","doi-asserted-by":"publisher","first-page":"473","DOI":"10.3766\/jaaa.16.7.7","volume":"16","author":"RA Bentler","year":"2005","unstructured":"Bentler, R.A.: Effectiveness of directional microphones and noise reduction schemes in hearing aids: a systematic review of the evidence. J. Am. Acad. Audiol. 16(7), 473\u2013484 (2005). https:\/\/doi.org\/10.3766\/jaaa.16.7.7","journal-title":"J. Am. Acad. Audiol."},{"key":"1342_CR8","doi-asserted-by":"publisher","unstructured":"Aljumaily, R., Abdulmohsin, H.: Review: Noise Reduction Techniques for Enhancing Speech. Iraqi J. Sci. 5798\u20135818 (2024). https:\/\/doi.org\/10.24996\/ijs.2024.65.10.38","DOI":"10.24996\/ijs.2024.65.10.38"},{"key":"1342_CR9","doi-asserted-by":"publisher","first-page":"1407775","DOI":"10.3389\/fnins.2024.1407775","volume":"18","author":"R Dong","year":"2024","unstructured":"Dong, R., Liu, P., Tian, X., Wang, Y., Chen, Y., Zhang, J., Yang, L., Zhao, S., Guan, J., Wang, S.: Influences of noise reduction on speech intelligibility, listening effort, and sound quality among adults with severe to profound hearing loss. Front. NeuroSci. 18, 1407775 (2024). https:\/\/doi.org\/10.3389\/fnins.2024.1407775","journal-title":"Front. NeuroSci."},{"key":"1342_CR10","doi-asserted-by":"publisher","unstructured":"Palkar, A., Saldanha, C.: A comparative study of existing smart hearing aids for partially hearing-impaired patients. Univ. Access Inf. Soc. 1\u201318 (2024). https:\/\/doi.org\/10.1007\/s10209-024-01186-z","DOI":"10.1007\/s10209-024-01186-z"},{"key":"1342_CR11","doi-asserted-by":"publisher","unstructured":"Friston, K.J., Sajid, N., Quiroga-Martinez, D.R., Parr, T., Price, C.J., Holmes, E.: Active listening. Hear. Res. 399 (2021). Article 107998 https:\/\/doi.org\/10.1016\/j.heares.2020.107998","DOI":"10.1016\/j.heares.2020.107998"},{"key":"1342_CR12","doi-asserted-by":"publisher","unstructured":"Park, G., Cho, W., Kim, K.-S., Lee, S.: Speech Enhancement for Hearing Aids with Deep Learning on Environmental Noises. Appl. Sci. 10(17) (2020). https:\/\/doi.org\/10.3390\/app10176077","DOI":"10.3390\/app10176077"},{"issue":"11","key":"1342_CR13","doi-asserted-by":"publisher","first-page":"e0277974","DOI":"10.1371\/journal.pone.0277974","volume":"17","author":"B Porr","year":"2022","unstructured":"Porr, B., Daryanavard, S., Bohollo, L.M., Cowan, H., Dahiya, R.: Real-time noise cancellation with deep learning. PLOS ONE. 17(11), e0277974 (2022). https:\/\/doi.org\/10.1371\/journal.pone.0277974","journal-title":"PLOS ONE"},{"key":"1342_CR14","doi-asserted-by":"publisher","unstructured":"Cs\u00f3ka, B., Fiala, P., Rucz, P.: Tracking Sound Sources with Microphone Arrays and Beamforming Algorithms. Proc. 10th Convention Eur. Acoust. Association Forum Acusticum 2023. 1115\u20131122 (2024). https:\/\/doi.org\/10.61782\/fa.2023.0310","DOI":"10.61782\/fa.2023.0310"},{"key":"1342_CR15","doi-asserted-by":"publisher","unstructured":"Research Scholar, D. of, ECE, J.N.T.U.K., India, Sunitha, P., Satya Prasad, D.K., Rector, V.F.S.T.R., Guntur, I.: Multi Band Spectral Subtraction Combined with Adaptive Noise Estimation. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 2522\u20132528. (2019). https:\/\/doi.org\/10.35940\/ijrte.B1472.078219","DOI":"10.35940\/ijrte.B1472.078219"},{"issue":"1","key":"1342_CR16","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1515\/jisys-2017-0509","volume":"29","author":"MA Kumar","year":"2020","unstructured":"Kumar, M.A., Chari, K.M.: Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement. J. Intell. Syst. 29(1), 1360\u20131378 (2020). https:\/\/doi.org\/10.1515\/jisys-2017-0509","journal-title":"J. Intell. Syst."},{"key":"1342_CR17","doi-asserted-by":"crossref","unstructured":"Vanjari, H.B., Kolte, M.T.: Comparative Analysis of Speech Enhancement Techniques in Perceptive of Hearing Aid Design. In D. Goyal, A. Kumar, V. Piuri, & M. Paprzycki (Eds.), Proceedings of the Third International Conference on Information Management and Machine Intelligence (pp. 117\u2013125). Springer Nature Singapore. (2023)","DOI":"10.1007\/978-981-19-2065-3_15"},{"key":"1342_CR18","doi-asserted-by":"publisher","unstructured":"Dementyev, A., Reddy, C.K.A., Wisdom, S., Chatlani, N., Hershey, J.R., Lyon, R.F.: Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearables (No. arXiv:2409.18239). arXiv. (2025). https:\/\/doi.org\/10.48550\/arXiv.2409.18239","DOI":"10.48550\/arXiv.2409.18239"},{"issue":"2","key":"1342_CR19","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1080\/23808985.2017.1304163","volume":"41","author":"DC DeAndrea","year":"2017","unstructured":"DeAndrea, D.C., Holbert, R.L.: Increasing Clarity Where it is Needed Most: Articulating and Evaluating Theoretical Contributions. Communication Yearbook. 41(2), 168\u2013180 (2017). https:\/\/doi.org\/10.1080\/23808985.2017.1304163","journal-title":"Communication Yearbook"},{"issue":"7","key":"1342_CR20","doi-asserted-by":"publisher","first-page":"e0305726","DOI":"10.1371\/journal.pone.0305726","volume":"19","author":"H Kim","year":"2024","unstructured":"Kim, H., Hwang, H., Gwak, S., Yoon, J., Park, K.: Improving communication and promoting social inclusion for hearing-impaired users: Usability evaluation and design recommendations for assistive mobile applications. PLOS ONE. 19(7), e0305726 (2024). https:\/\/doi.org\/10.1371\/journal.pone.0305726","journal-title":"PLOS ONE"},{"key":"1342_CR21","doi-asserted-by":"crossref","unstructured":"Garcia, A.C., Arabi, A., Croteau, C.,Bender Moreira, de Lacerda, A.: Enhancing communication in healthcare: Supports for interactions between adults with hearing loss and healthcare providers. PLOS ONE, 20(2), e0308592. (2025).","DOI":"10.1371\/journal.pone.0308592"},{"key":"1342_CR22","unstructured":"Kuntoji, M.S.: Speech Noise Reduction in Hearing Aids to Improve Perceptual Quality of Speech Using Discrete Fourier Transform. 8,e570\u2013e575. (2021)"},{"key":"1342_CR23","doi-asserted-by":"publisher","first-page":"233121652093246","DOI":"10.1177\/2331216520932467","volume":"24","author":"J Hengen","year":"2020","unstructured":"Hengen, J., Hammarstr\u00f6m, I.L., Stenfelt, S.: Perception of One\u2019s Own Voice After Hearing-Aid Fitting for Naive Hearing-Aid Users and Hearing-Aid Refitting for Experienced Hearing-Aid Users. Trends Hear. 24, 2331216520932467 (2020). https:\/\/doi.org\/10.1177\/2331216520932467","journal-title":"Trends Hear."},{"issue":"7","key":"1342_CR24","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1001\/jamaoto.2017.0245","volume":"143","author":"M Valente","year":"2017","unstructured":"Valente, M., Amlani, A.M.: Cost as a Barrier for Hearing Aid Adoption. JAMA Otolaryngology\u2013Head Neck Surg. 143(7), 647\u2013648 (2017). https:\/\/doi.org\/10.1001\/jamaoto.2017.0245","journal-title":"JAMA Otolaryngology\u2013Head Neck Surg."},{"key":"1342_CR25","unstructured":"Jespersen, C.T., Kirkwood, B.C., Groth, J.: Effect of directional strategy on audibility of sounds in the environment for varying hearing loss severity. Canadian Audiologist. (2017)., November 20. https:\/\/canadianaudiologist.ca\/directional-strategy-feature\/:contentReference[oaicite:0]{index=0}"},{"key":"1342_CR26","doi-asserted-by":"publisher","first-page":"233121651989690","DOI":"10.1177\/2331216519896908","volume":"24","author":"L Wang","year":"2020","unstructured":"Wang, L., Best, V., Shinn-Cunningham, B.G.: Benefits of Beamforming With Local Spatial-Cue Preservation for Speech Localization and Segregation. Trends Hear. 24, 2331216519896908 (2020). https:\/\/doi.org\/10.1177\/2331216519896908","journal-title":"Trends Hear."},{"issue":"3","key":"1342_CR27","doi-asserted-by":"publisher","first-page":"21","DOI":"10.24018\/ejece.2024.8.3.624","volume":"8","author":"MA Bolarinwa","year":"2024","unstructured":"Bolarinwa, M.A., Ayoma, M.E.: Development of a Signal Processing Algorithm for Feedback (Noise) Reduction in Hearing Aids Using the Spectral Subtraction Technique. Eur. J. Electr. Eng. Comput. Sci. 8(3), 21\u201328 (2024). https:\/\/doi.org\/10.24018\/ejece.2024.8.3.624","journal-title":"Eur. J. Electr. Eng. Comput. Sci."},{"issue":"7","key":"1342_CR28","first-page":"4793","volume":"56","author":"SM Hattaraki","year":"2024","unstructured":"Hattaraki, S.M., Kambalimath, S.G.: Enhancing Speech Intelligibility in Hearing Aids Using Spectral Subtraction. Int. J. Gongcheng Kexue Yu Jishu\/Adv Eng. Sci. 56(7), 4793\u20134801 (2024)","journal-title":"Int. J. Gongcheng Kexue Yu Jishu\/Adv Eng. Sci."},{"issue":"2","key":"1342_CR29","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.35940\/ijrte.B1472.078219","volume":"8","author":"P Sunitha","year":"2019","unstructured":"Sunitha, P., Satya Prasad: Multi Band Spectral Subtraction Combined with Adaptive Noise Estimation. Int. J. Recent. Technol. Eng. (IJRTE). 8(2), 2522\u20132528 (2019). https:\/\/doi.org\/10.35940\/ijrte.B1472.078219","journal-title":"Int. J. Recent. Technol. Eng. (IJRTE)"},{"issue":"1","key":"1342_CR30","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1515\/jisys-2017-0509","volume":"29","author":"MA Kumar","year":"2020","unstructured":"Kumar, M.A., Chari, K.M.: Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement. J. Intell. Syst. 29(1), 1360\u20131378 (2020). https:\/\/doi.org\/10.1515\/jisys-2017-0509","journal-title":"J. Intell. Syst."},{"key":"1342_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10648-021-09615-8","volume":"33","author":"M Bernacki","year":"2021","unstructured":"Bernacki, M., Greene, M., Lobczowski, N.: A Systematic Review of Research on Personalized Learning: Personalized by Whom, to What, How, and for What Purpose(s)? Educational Psychol. Rev. 33, 1\u201341 (2021). https:\/\/doi.org\/10.1007\/s10648-021-09615-8","journal-title":"Educational Psychol. Rev."},{"key":"1342_CR32","doi-asserted-by":"publisher","first-page":"233121652413093","DOI":"10.1177\/23312165241309301","volume":"29","author":"H Zhang","year":"2025","unstructured":"Zhang, H., Moore, B.C.J., Jiang, F., Diao, M., Ji, F., Li, X., Zheng, C.: Neural-WDRC: A Deep Learning Wide Dynamic Range Compression Method Combined With Controllable Noise Reduction for Hearing Aids. Trends Hear. 29, 23312165241309301 (2025). https:\/\/doi.org\/10.1177\/23312165241309301","journal-title":"Trends Hear."},{"issue":"2","key":"1342_CR33","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1044\/1059-0889(2012\/12-0013)","volume":"21","author":"RW McCreery","year":"2012","unstructured":"McCreery, R.W., Venediktov, R.A., Coleman, J.J., Leech, H.M.: An evidence-based systematic review of amplitude compression in hearing aids for school-age children with hearing loss. Am. J. Audiol. 21(2), 269\u2013294 (2012). https:\/\/doi.org\/10.1044\/1059-0889(2012\/12-0013)","journal-title":"Am. J. Audiol."},{"key":"1342_CR34","doi-asserted-by":"publisher","first-page":"233121652311923","DOI":"10.1177\/23312165231192302","volume":"27","author":"N Overby","year":"2023","unstructured":"Overby, N., Dau, T., May, T.: A Data-driven Distance Metric for Evaluating the effects of Dynamic Range Compression in Adverse Conditions. Trends Hear. 27, 23312165231192302 (2023). https:\/\/doi.org\/10.1177\/23312165231192302","journal-title":"Trends Hear."},{"key":"1342_CR35","doi-asserted-by":"publisher","unstructured":"Patel, K., Panahi, I.M.S.: Compression Fitting of Hearing Aids and Implementation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020, 968\u2013971. (2020). https:\/\/doi.org\/10.1109\/EMBC44109.2020.9176368","DOI":"10.1109\/EMBC44109.2020.9176368"},{"key":"1342_CR36","doi-asserted-by":"publisher","first-page":"203503","DOI":"10.1109\/ACCESS.2020.3035728","volume":"8","author":"N Alamdari","year":"2020","unstructured":"Alamdari, N., Lobarinas, E., Kehtarnavaz, N.: Personalization of Hearing Aid Compression by Human-in-the-Loop Deep Reinforcement Learning. IEEE Access. 8, 203503\u2013203515 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3035728","journal-title":"IEEE Access."},{"key":"1342_CR37","doi-asserted-by":"publisher","first-page":"233121651879090","DOI":"10.1177\/2331216518790903","volume":"22","author":"T May","year":"2018","unstructured":"May, T., Kowalewski, B., Dau, T.: Signal-to-Noise-Ratio-Aware Dynamic Range Compression in Hearing Aids. Trends Hear. 22, 2331216518790903 (2018). https:\/\/doi.org\/10.1177\/2331216518790903","journal-title":"Trends Hear."},{"issue":"3","key":"1342_CR38","doi-asserted-by":"publisher","first-page":"153","DOI":"10.33180\/InfMIDEM2020.301","volume":"50","author":"SP Philip","year":"2020","unstructured":"Philip, S.P., Palaniswami, S., Sivakumar, H.: A Computationally Efficient 11 Band NonUniform Filter Bank for Hearing Aids Targeting Moderately Sloping Sensorineural Hearing Loss. Informacije MIDEM. 50(3), 153\u2013167 (2020). https:\/\/doi.org\/10.33180\/InfMIDEM2020.301","journal-title":"Informacije MIDEM"},{"key":"1342_CR39","doi-asserted-by":"publisher","unstructured":"Dhanaskodi, D., Chenniappan, P., Shoukath Ali, K., Perarasi, T., Palaniappan, T.: Adaptive Threshold and Modified Adaptive Gain Function based Speech Enhancement Algorithm for Digital Hearing Aid. Proceedings \u2013\u20091st International Conference on Smart Technologies Communication and Robotics, STCR 2021. (2021). https:\/\/doi.org\/10.1109\/STCR51658.2021.9588809","DOI":"10.1109\/STCR51658.2021.9588809"},{"key":"1342_CR40","doi-asserted-by":"publisher","unstructured":"Tu, J., Qin, G., Lv, H.: Frequency-domain distributed multichannel wiener filtering speech enhancement algorithm. 522. (2024). https:\/\/doi.org\/10.1051\/e3sconf\/202452201027","DOI":"10.1051\/e3sconf\/202452201027"},{"key":"1342_CR41","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1109\/ACCESS.2022.3232334","volume":"11","author":"MT Akhtar","year":"2023","unstructured":"Akhtar, M.T., Albu, F., Nishihara, A.: Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better? IEEE Access. 11, 337\u2013364 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2022.3232334","journal-title":"IEEE Access."},{"key":"1342_CR42","doi-asserted-by":"publisher","unstructured":"Thaleiser, S., Enzner, G.: Cue-preserving MMSE filter with Bayesian SNR marginalization for binaural speech enhancement. 2021-June, 6124\u20136128. (2021). https:\/\/doi.org\/10.1109\/ICASSP39728.2021.9414956","DOI":"10.1109\/ICASSP39728.2021.9414956"},{"key":"1342_CR43","doi-asserted-by":"publisher","first-page":"1950","DOI":"10.1109\/TASLP.2021.3079815","volume":"29","author":"N Ito","year":"2021","unstructured":"Ito, N., Ikeshita, R., Sawada, H., Nakatani, T.: A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter. IEEE\/ACM Trans. Audio Speech Lang. Proc. 29, 1950\u20131965 (2021). https:\/\/doi.org\/10.1109\/TASLP.2021.3079815","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Proc."},{"key":"1342_CR44","unstructured":"Bramsl\u00f8w, L., Beck, D.L.: Deep Neural Networks in Hearing Devices Research in cognition, listening, and AI is reshaping the future of hearing aid processing. (2021)"},{"issue":"5","key":"1342_CR45","doi-asserted-by":"publisher","first-page":"1830","DOI":"10.1109\/JSSC.2024.3460426","volume":"60","author":"S Park","year":"2025","unstructured":"Park, S., Lee, S., Park, J., Choi, H.-S., Lee, K., Jeon, D.: A Real-Time Speech Enhancement Processor for Hearing Aids in 28-nm CMOS. IEEE J. Solid-State Circuits. 60(5), 1830\u20131843 (2025). https:\/\/doi.org\/10.1109\/JSSC.2024.3460426","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"3","key":"1342_CR46","doi-asserted-by":"publisher","first-page":"20","DOI":"10.17430\/JHS.2021.11.3.2","volume":"11","author":"A Umashankar","year":"2021","unstructured":"Umashankar, A., MN, A., C, P.: Applications Of Artificial Intelligence In Hearing Aids and Auditory Implants: A Short Review. J. Hear. Sci. 11(3), 20\u201323 (2021). https:\/\/doi.org\/10.17430\/JHS.2021.11.3.2","journal-title":"J. Hear. Sci."},{"key":"1342_CR47","doi-asserted-by":"publisher","unstructured":"Schr\u00f6ter, H., Rosenkranz, T., Escalante-B, A.-N., Maier, A.: Low Latency Speech Enhancement for Hearing Aids Using Deep Filtering. IEEE\/ACM Trans. Audio, Speech and Lang. Proc., 30, 2716\u20132728. (2022). https:\/\/doi.org\/10.1109\/TASLP.2022.3198548","DOI":"10.1109\/TASLP.2022.3198548"},{"key":"1342_CR48","doi-asserted-by":"publisher","unstructured":"Tsangko, I., Triantafyllopoulos, A., M\u00fcller, M., Schr\u00f6ter, H., Schuller, B.W.: DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids. ICASSP 2025\u20132025 IEEE Int. Conf. Acoust. Speech Signal. Process. (ICASSP). 1(5) (2025). https:\/\/doi.org\/10.1109\/ICASSP49660.2025.10888674","DOI":"10.1109\/ICASSP49660.2025.10888674"},{"issue":"7","key":"1342_CR49","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1109\/TASLP.2019.2913512","volume":"27","author":"A Pandey","year":"2019","unstructured":"Pandey, A., Wang, D.: A New Framework for CNN-Based Speech Enhancement in the Time Domain. IEEE\/ACM Trans. Audio Speech Lang. Process. 27(7), 1179\u20131188 (2019). https:\/\/doi.org\/10.1109\/TASLP.2019.2913512","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"1342_CR50","doi-asserted-by":"publisher","unstructured":"Nossier, S., Wall, J., Moniri, M., Glackin, C., Cannings, N.: Convolutional Recurrent Smart Speech Enhancement Architecture for Hearing Aids. Interspeech 2022. 5428\u20135432 (2022). https:\/\/doi.org\/10.21437\/Interspeech.2022-522","DOI":"10.21437\/Interspeech.2022-522"},{"issue":"4","key":"1342_CR51","doi-asserted-by":"publisher","first-page":"235","DOI":"10.2478\/jaiscr-2019-0006","volume":"9","author":"A Shewalkar","year":"2019","unstructured":"Shewalkar, A., Nyavanandi, D., Ludwig, S.A.: Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU. J. Artif. Intell. Soft Comput. Res. 9(4), 235\u2013245 (2019). https:\/\/doi.org\/10.2478\/jaiscr-2019-0006","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"1342_CR52","doi-asserted-by":"publisher","unstructured":"Takeuchi, D., Yatabe, K., Koizumi, Y., Oikawa, Y., Harada, N.: Real-time speech enhancement using equilibriated RNN (No. arXiv:2002.05843). (2020). https:\/\/doi.org\/10.48550\/arXiv.2002.05843","DOI":"10.48550\/arXiv.2002.05843"},{"key":"1342_CR53","doi-asserted-by":"publisher","unstructured":"Hu, Y., Liu, Y., Lv, S., Xing, M., Zhang, S., Fu, Y., Wu, J., Zhang, B., Xie, L.: DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement (No. arXiv:2008.00264). (2020). https:\/\/doi.org\/10.48550\/arXiv.2008.00264","DOI":"10.48550\/arXiv.2008.00264"},{"key":"1342_CR54","doi-asserted-by":"publisher","unstructured":"Rong, X., Wang, D., Hu, Y., Zhu, C., Chen, K., Lu, J.: UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Search (No. arXiv:2503.00340). arXiv. (2025). https:\/\/doi.org\/10.48550\/arXiv.2503.00340","DOI":"10.48550\/arXiv.2503.00340"},{"key":"1342_CR55","doi-asserted-by":"publisher","unstructured":"Williams, C., Falck, F., Deligiannidis, G., Holmes, C., Doucet, A., Syed, S.: A Unified Framework for U-Net Design and Analysis (No. arXiv:2305.19638). (2024). https:\/\/doi.org\/10.48550\/arXiv.2305.19638","DOI":"10.48550\/arXiv.2305.19638"},{"key":"1342_CR56","doi-asserted-by":"publisher","unstructured":"Grzywalski, T., Drgas, S.: Speech Enhancement by Multiple Propagation through the Same Neural Network. Sensors. 22(7) (2022). https:\/\/doi.org\/10.3390\/s22072440","DOI":"10.3390\/s22072440"},{"issue":"1","key":"1342_CR57","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1186\/s13636-023-00295-6","volume":"2023","author":"S Xu","year":"2023","unstructured":"Xu, S., Zhang, Z., Wang, M.: Channel and temporal-frequency attention UNet for monaural speech enhancement. EURASIP J. Audio Speech Music Process. 2023(1), 30 (2023). https:\/\/doi.org\/10.1186\/s13636-023-00295-6","journal-title":"EURASIP J. Audio Speech Music Process."},{"key":"1342_CR58","doi-asserted-by":"publisher","unstructured":"Nazemi, A., Sami, A., Sami, M., Hussain, A.: Iterative Speech Enhancement with Transformers. 3rd COG-MHEAR Workshop Audio-V. Speech Enhancement (AVSEC). 65\u201367 (2024). https:\/\/doi.org\/10.21437\/AVSEC.2024-14","DOI":"10.21437\/AVSEC.2024-14"},{"key":"1342_CR59","doi-asserted-by":"publisher","unstructured":"de Oliveira, D., Peer, T., Gerkmann, T.: Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes. Interspeech 2022. 2948\u20132952 (2022). https:\/\/doi.org\/10.21437\/Interspeech.2022-10781","DOI":"10.21437\/Interspeech.2022-10781"},{"key":"1342_CR60","doi-asserted-by":"publisher","unstructured":"Subakan, C., Ravanelli, M., Cornell, S., Grondin, F., Bronzi, M.: Exploring Self-Attention Mechanisms for Speech Separation (No. arXiv:2202.02884). (2023). https:\/\/doi.org\/10.48550\/arXiv.2202.02884","DOI":"10.48550\/arXiv.2202.02884"},{"key":"1342_CR61","doi-asserted-by":"publisher","first-page":"36018","DOI":"10.1109\/ACCESS.2022.3163856","volume":"10","author":"F Andayani","year":"2022","unstructured":"Andayani, F., Theng, L.B., Tsun, M.T., Chua, C.: Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files. IEEE Access. 10, 36018\u201336027 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3163856","journal-title":"IEEE Access."},{"key":"1342_CR62","doi-asserted-by":"publisher","unstructured":"Tokala, V., Grinstein, E., Brookes, M., Doclo, S., Jensen, J., Naylor, P.A.: Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks (No. arXiv:2403.05393). (2024). https:\/\/doi.org\/10.48550\/arXiv.2403.05393","DOI":"10.48550\/arXiv.2403.05393"},{"issue":"5","key":"1342_CR63","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.35940\/ijeat.E1027.069520","volume":"9","author":"J Katra","year":"2020","unstructured":"Katra, J., India, K., Qazi, H., Kaushik, B.N., Associate Professor, Department of Computer Science & Engineering, SMVDU, Katra, J&K, India.: A Hybrid Technique using CNN LSTM for Speech Emotion Recognition. Int. J. Eng. Adv. Technol. 9(5), 1126\u20131130 (2020). https:\/\/doi.org\/10.35940\/ijeat.E1027.069520","journal-title":"Int. J. Eng. Adv. Technol."},{"issue":"10","key":"1342_CR64","doi-asserted-by":"publisher","first-page":"5400","DOI":"10.1109\/tfuzz.2024.3435050","volume":"32","author":"S Chen","year":"2024","unstructured":"Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Tughrul Arslan, A.A., Hussain, A.: Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Trans. Fuzzy Syst. 32(10), 5400\u20135412 (2024). https:\/\/doi.org\/10.1109\/tfuzz.2024.3435050","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"1342_CR65","doi-asserted-by":"publisher","unstructured":"Amin, R.U., Gogate, M., Dashtipour, K.K., Hussain, A., Arslan, T., Ullah, A., Doctor, F., Ratnarajah, T., Sellathurai, M., Hussain, A.: Towards cloud-based and federated A-Synchronous Speech enhancement using Deep Neuro-fuzzy Models: Review, Challenges & Future Directions. 3rd COG-MHEAR Workshop Audio-V. Speech Enhancement (AVSEC). 79\u201381 (2024). https:\/\/doi.org\/10.21437\/AVSEC.2024-17","DOI":"10.21437\/AVSEC.2024-17"},{"key":"1342_CR66","doi-asserted-by":"publisher","unstructured":"Strauss, M., Edler, B.: A flow-based neural network for time domain speech enhancement. 2021-June, 5754\u20135758. (2021). https:\/\/doi.org\/10.1109\/ICASSP39728.2021.9413999","DOI":"10.1109\/ICASSP39728.2021.9413999"},{"key":"1342_CR67","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094887","author":"F Drakopoulos","year":"2023","unstructured":"Drakopoulos, F., Van Den Broucke, A., Verhulst, S.: A DNN-Based Hearing-Aid Strategy For Real-Time Processing: One Size Fits All. 2023-June. (2023). https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10094887","journal-title":"2023-June"},{"key":"1342_CR68","doi-asserted-by":"publisher","unstructured":"Nossier, S.A., Wall, J., Moniri, M., Glackin, C., Cannings, N.: A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids. 553\u2013558. (2023). https:\/\/doi.org\/10.1109\/ICTAI59109.2023.00088","DOI":"10.1109\/ICTAI59109.2023.00088"},{"issue":"6","key":"1342_CR69","doi-asserted-by":"publisher","first-page":"3616","DOI":"10.1121\/10.0016589","volume":"152","author":"C Zheng","year":"2022","unstructured":"Zheng, C., Wang, M., Li, X., Moore, B.C.J.: A deep learning solution to the marginal stability problems of acoustic feedback systems for hearing aids. J. Acoust. Soc. Am. 152(6), 3616\u20133634 (2022). https:\/\/doi.org\/10.1121\/10.0016589","journal-title":"J. Acoust. Soc. Am."},{"key":"1342_CR70","doi-asserted-by":"publisher","first-page":"1029","DOI":"10.23919\/EUSIPCO54536.2021.9616073","volume":"1025","author":"C Haruta","year":"2021","unstructured":"Haruta, C., Ono, N.: A low-computational DNN-based speech enhancement for hearing aids based on element selection. 2021 29th Eur. Signal. Process. Conf. (EUSIPCO). 1025, 1029 (2021). https:\/\/doi.org\/10.23919\/EUSIPCO54536.2021.9616073","journal-title":"2021 29th Eur. Signal. Process. Conf. (EUSIPCO)"},{"key":"1342_CR71","doi-asserted-by":"publisher","unstructured":"Fan, X., Yang, B., Chen, W., Fan, Q.: Deep Neural Network Based Noised Asian Speech Enhancement and Its Implementation on a Hearing Aid App. ACM Trans. Asian Low-Resource Lang. Inform. Process. 20(5) (2021). https:\/\/doi.org\/10.1145\/3439797","DOI":"10.1145\/3439797"},{"key":"1342_CR72","doi-asserted-by":"publisher","unstructured":"Asiedu Asante, B.K., Broni-Bediako, C., Imamura, H.: Exploring Multi-Stage GAN with Self-Attention for Speech Enhancement. Appl. Sci. (Switzerland). 13(16) (2023). https:\/\/doi.org\/10.3390\/app13169217","DOI":"10.3390\/app13169217"},{"key":"1342_CR73","doi-asserted-by":"publisher","unstructured":"Chen, Z., Tang, C., Ge, Y., Imran, M., Abbasi, Q.H.: Integrating RF-Visual Technologies for Improved Speech Recognition in Hearing Aids. 97\u201399. (2023). https:\/\/doi.org\/10.1109\/IMBioC56839.2023.10305132","DOI":"10.1109\/IMBioC56839.2023.10305132"},{"key":"1342_CR74","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1109\/OJSP.2023.3343343","volume":"5","author":"K Zmolikova","year":"2024","unstructured":"Zmolikova, K., Pedersen, M.S., Jensen, J.: Masked Spectrogram Prediction for Unsupervised Domain Adaptation in Speech Enhancement. IEEE Open. J. Signal. Process. 5, 274\u2013283 (2024). https:\/\/doi.org\/10.1109\/OJSP.2023.3343343","journal-title":"IEEE Open. J. Signal. Process."},{"key":"1342_CR75","doi-asserted-by":"publisher","first-page":"160581","DOI":"10.1109\/ACCESS.2020.3021061","volume":"8","author":"N Saleem","year":"2020","unstructured":"Saleem, N., Khattak, M.I., Al-Hasan, M., Qazi, A.B.: On Learning Spectral Masking for Single Channel Speech Enhancement Using Feedforward and Recurrent Neural Networks. IEEE Access. 8, 160581\u2013160595 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3021061","journal-title":"IEEE Access."},{"key":"1342_CR76","doi-asserted-by":"publisher","unstructured":"Phan, H., Nguyen, H.L., Ch\u00e9n, O.Y., Koch, P., Duong, N.Q.K., McLoughlin, I., Mertins, A.: Self-attention generative adversarial network for speech enhancement. 2021-June. 7103\u20137107 (2021). https:\/\/doi.org\/10.1109\/ICASSP39728.2021.9414265","DOI":"10.1109\/ICASSP39728.2021.9414265"},{"key":"1342_CR77","doi-asserted-by":"publisher","first-page":"5328","DOI":"10.1109\/ACCESS.2023.3236242","volume":"11","author":"R Soleymanpour","year":"2023","unstructured":"Soleymanpour, R., Soleymanpour, M., Brammer, A.J., Johnson, M.T., Kim, I.: Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments. IEEE Access. 11, 5328\u20135336 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3236242","journal-title":"IEEE Access."},{"key":"1342_CR78","doi-asserted-by":"publisher","unstructured":"Park, G., Cho, W., Kim, K.-S., Lee, S.: Speech Enhancement for Hearing Aids with Deep Learning on Environmental Noises. Appl. Sci. 10(17) (2020). https:\/\/doi.org\/10.3390\/app10176077","DOI":"10.3390\/app10176077"},{"key":"1342_CR79","doi-asserted-by":"publisher","unstructured":"Kuebert, T., Puder, H., Koeppl, H.: Daily Routine Recognition for Hearing Aid Personalization. SN Comput. Sci. 2(3) (2021). https:\/\/doi.org\/10.1007\/s42979-021-00538-3","DOI":"10.1007\/s42979-021-00538-3"},{"key":"1342_CR80","doi-asserted-by":"publisher","unstructured":"van Erp, B., Podusenko, A., Ignatenko, T., de Vries, B.: A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms. Appl. Sci. 11(20) (2021). https:\/\/doi.org\/10.3390\/app11209535","DOI":"10.3390\/app11209535"},{"key":"1342_CR81","doi-asserted-by":"publisher","unstructured":"Lai, Y.-H., Zheng, W.-Z., Tang, S.-T., Fang, S.-H., Liao, W.-H., Tsao, Y.: Improving the performance of hearing aids in noisy environments based on deep learning technology. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vols. 2018-July, pp. 404\u2013408). Institute of Electrical and Electronics Engineers Inc. (2018). https:\/\/doi.org\/10.1109\/EMBC.2018.8512277","DOI":"10.1109\/EMBC.2018.8512277"},{"key":"1342_CR82","doi-asserted-by":"publisher","unstructured":"Patil, P., Jaware, T., Patil, S., Badgujar, R., Albu, F., Mahariq, I., Al-Sheikh, B., Nayak, C.: Marathi Speech Intelligibility Enhancement Using I-AMS Based Neuro-Fuzzy Classifier Approach for Hearing Aid Users. IEEE Access, pp. 123028\u2013123042. (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3223365","DOI":"10.1109\/ACCESS.2022.3223365"},{"key":"1342_CR83","doi-asserted-by":"publisher","unstructured":"Westhausen, N.L., Kayser, H., Jansen, T., Meyer, B.T.: Real-Time Multichannel Deep Speech Enhancement in Hearing Aids: Comparing Monaural and Binaural Processing in Complex Acoustic Scenarios. In: IEEE\/ACM Transactions on Audio Speech and Language Processing, vol. 32, pp. 4596\u20134606. Institute of Electrical and Electronics Engineers Inc (2024). https:\/\/doi.org\/10.1109\/TASLP.2024.3473315","DOI":"10.1109\/TASLP.2024.3473315"},{"key":"1342_CR84","doi-asserted-by":"publisher","unstructured":"Diehl, P.U., Singer, Y., Zilly, H., Sch\u00f6nfeld, U., Meyer-Rachner, P., Berry, M., Sprekeler, H., Sprengel, E., Pudszuhn, A., Hofmann, V.M.: Restoring speech intelligibility for hearing aid users with deep learning. In Scientific Reports (Vol. 13, Issue 1). (2023). https:\/\/doi.org\/10.1038\/s41598-023-29871-8","DOI":"10.1038\/s41598-023-29871-8"},{"key":"1342_CR85","doi-asserted-by":"publisher","unstructured":"Yu, C., Zezario, R.E., Wang, S.-S., Sherman, J., Hsieh, Y.-Y., Lu, X., Wang, H.-M., Tsao, Y.: Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. IEEE\/ACM Trans. Audio, Speech and Lang. Proc., 28, 2756\u20132769. (2020). https:\/\/doi.org\/10.1109\/TASLP.2020.3025638","DOI":"10.1109\/TASLP.2020.3025638"},{"key":"1342_CR86","doi-asserted-by":"publisher","unstructured":"Grzywalski, T., Drgas, S.: Speech Enhancement by Multiple Propagation through the Same Neural Network. Sensors. 22(7) (2022). https:\/\/doi.org\/10.3390\/s22072440","DOI":"10.3390\/s22072440"},{"key":"1342_CR87","doi-asserted-by":"publisher","unstructured":"Kang, Z., Huang, Z., Lu, C.: Speech Enhancement Using U-Net with Compressed Sensing. Appl. Sci. 12(9) (2022). https:\/\/doi.org\/10.3390\/app12094161","DOI":"10.3390\/app12094161"},{"key":"1342_CR88","doi-asserted-by":"publisher","first-page":"78421","DOI":"10.1109\/ACCESS.2019.2922370","volume":"7","author":"GS Bhat","year":"2019","unstructured":"Bhat, G.S., Shankar, N., Reddy, C.K.A., Panahi, I.M.S.: A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using Smartphone. IEEE Access. 7, 78421\u201378433 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2922370","journal-title":"IEEE Access."},{"issue":"7","key":"1342_CR89","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1109\/TASLP.2019.2913512","volume":"27","author":"A Pandey","year":"2019","unstructured":"Pandey, A., Wang, D.: A New Framework for CNN-Based Speech Enhancement in the Time Domain. IEEE\/ACM Trans. Audio Speech Lang. Process. 27(7), 1179\u20131188 (2019). https:\/\/doi.org\/10.1109\/TASLP.2019.2913512","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"issue":"1","key":"1342_CR90","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1121\/10.0001600","volume":"148","author":"N Shankar","year":"2020","unstructured":"Shankar, N., Bhat, G.S., Panahi, I.M.S.: Efficient two-microphone speech enhancement using basic recurrent neural network cell for hearing and hearing aids. J. Acoust. Soc. Am. 148(1), 389\u2013400 (2020). https:\/\/doi.org\/10.1121\/10.0001600","journal-title":"J. Acoust. Soc. Am."},{"key":"1342_CR91","doi-asserted-by":"crossref","unstructured":"Kendrick, P., Tribe, M.: Hearing aid speech enhancement using u-net convolutional neural networks. In Proc. Clarity Workshop on Machine Learning Challenges for Hearing Aids. (2021)","DOI":"10.21437\/Clarity.2021-8"},{"issue":"2","key":"1342_CR92","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/j.aej.2019.05.006","volume":"58","author":"SA Nossier","year":"2019","unstructured":"Nossier, S.A., Rizk, M.R.M., Moussa, N.D., Shehaby, E., S: Enhanced smart hearing aid using deep neural networks. Alexandria Eng. J. 58(2), 539\u2013550 (2019). https:\/\/doi.org\/10.1016\/j.aej.2019.05.006","journal-title":"Alexandria Eng. J."},{"issue":"16","key":"1342_CR93","doi-asserted-by":"publisher","first-page":"7564","DOI":"10.3390\/app11167564","volume":"11","author":"L Li","year":"2021","unstructured":"Li, L., Wudamu, K\u00fcrzinger, L., Watzel, T., Rigoll, G.: Lightweight End-to-End Speech Enhancement Generative Adversarial Network Using Sinc Convolutions. Appl. Sci. 11(16), 7564 (2021). https:\/\/doi.org\/10.3390\/app11167564","journal-title":"Appl. Sci."},{"key":"1342_CR94","doi-asserted-by":"publisher","unstructured":"Schr\u00f6ter, H., Escalante-B, A.N., Rosenkranz, T., Maier, A.: DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering (No. arXiv:2110.05588). (2022). https:\/\/doi.org\/10.48550\/arXiv.2110.05588","DOI":"10.48550\/arXiv.2110.05588"},{"key":"1342_CR95","doi-asserted-by":"publisher","first-page":"1281904","DOI":"10.3389\/fmede.2023.1281904","volume":"1","author":"PU Diehl","year":"2023","unstructured":"Diehl, P.U., Zilly, H., Sattler, F., Singer, Y., Kepp, K., Berry, M., Hasemann, H., Zippel, M., Kaya, M., Meyer-Rachner, P., Pudszuhn, A., Hofmann, V.M., Vormann, M., Sprengel, E.: Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users. Front. Med. Eng. 1, 1281904 (2023). https:\/\/doi.org\/10.3389\/fmede.2023.1281904","journal-title":"Front. Med. Eng."},{"issue":"1","key":"1342_CR96","doi-asserted-by":"publisher","first-page":"23","DOI":"10.29103\/jreece.v4i1.13687","volume":"4","author":"F Permana Putra","year":"2024","unstructured":"Permana Putra, F., Kartika, K., Sitti Nurfebruary, N., Misriana, M., G. S, K., Siregar, R.H.: Matlab Simulation Using Kalman Filter Algorithm to Reduce Noise in Voice Signals. J. Renew. Energy Electr. Comput. Eng. 4(1), 23\u201331 (2024). https:\/\/doi.org\/10.29103\/jreece.v4i1.13687","journal-title":"J. Renew. Energy Electr. Comput. Eng."},{"key":"1342_CR97","doi-asserted-by":"publisher","unstructured":"Akande, D., Kayode, A.: Speech Enhancement in Wireless Communication System Using Hybrid Spectral-Kalman Filter. Int. J. Electr. Electron. Eng. Telecommunications. 363\u2013372 (2022). https:\/\/doi.org\/10.18178\/ijeetc.11.5.363-372","DOI":"10.18178\/ijeetc.11.5.363-372"},{"issue":"43\u201344","key":"1342_CR98","doi-asserted-by":"publisher","first-page":"32643","DOI":"10.1007\/s11042-020-09563-5","volume":"79","author":"H Yu","year":"2020","unstructured":"Yu, H., Zhu, W.-P., Ouyang, Z., Champagne, B.: A hybrid speech enhancement system with DNN based speech reconstruction and Kalman filtering. Multimedia Tools Appl. 79(43\u201344), 32643\u201332663 (2020). https:\/\/doi.org\/10.1007\/s11042-020-09563-5","journal-title":"Multimedia Tools Appl."},{"key":"1342_CR99","doi-asserted-by":"publisher","unstructured":"Zhang, H., Yu, M., Wu, Y., Yu, T., Yu, D.: Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression (No. arXiv:2305.02583). (2023). https:\/\/doi.org\/10.48550\/arXiv.2305.02583","DOI":"10.48550\/arXiv.2305.02583"},{"issue":"2","key":"1342_CR100","doi-asserted-by":"publisher","first-page":"131","DOI":"10.3766\/jaaa.17090","volume":"30","author":"EM Picou","year":"2019","unstructured":"Picou, E.M., Ricketts, T.A.: An Evaluation of Hearing Aid Beamforming Microphone Arrays in a Noisy Laboratory Setting. J. Am. Acad. Audiol. 30(2), 131\u2013144 (2019). https:\/\/doi.org\/10.3766\/jaaa.17090","journal-title":"J. Am. Acad. Audiol."},{"issue":"5","key":"1342_CR101","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.18280\/jesa.570502","volume":"57","author":"CT Somefun","year":"2024","unstructured":"Somefun, C.T., Daramola, S.A., Somefun, T.E.: Advancements and Applications of Adaptive Filters in Signal Processing. J. Europ\u00e9en Des. Syst\u00e8mes Automatis\u00e9s. 57(5), 1259\u20131272 (2024). https:\/\/doi.org\/10.18280\/jesa.570502","journal-title":"J. Europ\u00e9en Des. Syst\u00e8mes Automatis\u00e9s"},{"key":"1342_CR102","doi-asserted-by":"publisher","unstructured":"Shankar, N., Bhat, G.S., Panahi, I.: Comparison and real-time implementation of fixed and adaptive beamformers for speech enhancement on smartphones for hearing study. 055009. (2019). https:\/\/doi.org\/10.1121\/2.0001314","DOI":"10.1121\/2.0001314"},{"issue":"1","key":"1342_CR103","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1049\/cje.2019.11.003","volume":"29","author":"C Lu","year":"2020","unstructured":"Lu, C., Yang, F., Yang, J.: An Adaptive Time-Domain Kalman Filtering Approach to Acoustic Feedback Cancellation for Hearing Aids. Chin. J. Electron. 29(1), 139\u2013146 (2020). https:\/\/doi.org\/10.1049\/cje.2019.11.003","journal-title":"Chin. J. Electron."},{"key":"1342_CR104","doi-asserted-by":"crossref","unstructured":"Albu, F., Tran, L.T., Nordholm, S.: The hybrid simplified Kalman filter for adaptive feedback cancellation. In 2018 International conference on communications (COMM) (pp. 45\u201350). IEEE. (2018), June","DOI":"10.1109\/ICComm.2018.8484823"},{"key":"1342_CR105","doi-asserted-by":"publisher","first-page":"233121652110686","DOI":"10.1177\/23312165211068629","volume":"26","author":"T Green","year":"2022","unstructured":"Green, T., Hilkhuysen, G., Huckvale, M., Rosen, S., Brookes, M., Moore, A., Naylor, P., Lightburn, L., Xue, W.: Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement. Trends Hear. 26, 23312165211068629 (2022). https:\/\/doi.org\/10.1177\/23312165211068629","journal-title":"Trends Hear."},{"key":"1342_CR106","first-page":"138","volume":"11","author":"H Vanjari","year":"2023","unstructured":"Vanjari, H., Kolte, M.: Enhancement of Speech for Hearing Aid Applications Integrating Adaptive Compressive Sensing with Noise Estimation Based Adaptive Gain. Int. J. Intell. Syst. Appl. Eng. 11, 138\u2013158 (2023)","journal-title":"Int. J. Intell. Syst. Appl. Eng."},{"key":"1342_CR107","doi-asserted-by":"publisher","unstructured":"Ochieng, P.: Deep neural network techniques for monaural speech enhancement: State of the art analysis (No. arXiv:2212.00369). (2023). https:\/\/doi.org\/10.48550\/arXiv.2212.00369","DOI":"10.48550\/arXiv.2212.00369"},{"key":"1342_CR108","doi-asserted-by":"publisher","unstructured":"Coto-Jimenez, M., Goddard-Close, J., Di Persia, L., Leonardo Rufiner, H.: Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 1\u20138. (2018). https:\/\/doi.org\/10.1109\/IWOBI.2018.8464132","DOI":"10.1109\/IWOBI.2018.8464132"},{"key":"1342_CR109","doi-asserted-by":"publisher","first-page":"e2772","DOI":"10.7717\/peerj-cs.2772","volume":"11","author":"Z Zaland","year":"2025","unstructured":"Zaland, Z., Mustafa, M., Kiah, M., Ting, H.N., Yusoof, M., Don, Z., Muthaiyah, S.: Multichannel speech enhancement for automatic speech recognition: A literature review. PeerJ Comput. Sci. 11, e2772 (2025). https:\/\/doi.org\/10.7717\/peerj-cs.2772","journal-title":"PeerJ Comput. Sci."},{"issue":"22","key":"1342_CR110","doi-asserted-by":"publisher","first-page":"4394","DOI":"10.3390\/electronics13224394","volume":"13","author":"J Xi","year":"2024","unstructured":"Xi, J., Xu, Z., Zhang, W., Zhao, L., Xie, Y.: Speech Enhancement Algorithm Based on Microphone Array and Lightweight CRN for Hearing Aid. Electronics. 13(22), 4394 (2024). https:\/\/doi.org\/10.3390\/electronics13224394","journal-title":"Electronics"},{"key":"1342_CR111","doi-asserted-by":"publisher","unstructured":"Meng, L., Coldenhoff, J., Kendrick, P., Stojkovic, T., Harper, A., Ratmanski, K., Cernak, M.: On real-time multi-stage speech enhancement systems (No. arXiv:2312.12415). (2023). https:\/\/doi.org\/10.48550\/arXiv.2312.12415","DOI":"10.48550\/arXiv.2312.12415"},{"key":"1342_CR112","doi-asserted-by":"publisher","first-page":"2188","DOI":"10.1109\/LSP.2022.3215100","volume":"29","author":"J Lee","year":"2022","unstructured":"Lee, J., Kang, H.G.: Two-stage refinement of magnitude and complex spectra for real-time speech enhancement. IEEE. Signal. Process. Lett. 29, 2188\u20132192 (2022). https:\/\/doi.org\/10.1109\/LSP.2022.3215100","journal-title":"IEEE. Signal. Process. Lett."},{"issue":"6","key":"1342_CR113","doi-asserted-by":"publisher","first-page":"1637","DOI":"10.1044\/2019_PERS-19-00052","volume":"4","author":"B Rakerd","year":"2019","unstructured":"Rakerd, B., Hunter, E.J., LaPine, P.: Resonance Effects and the Vocalization of Speech. Perspect. ASHA Special Interest. Groups. 4(6), 1637\u20131643 (2019). https:\/\/doi.org\/10.1044\/2019_PERS-19-00052","journal-title":"Perspect. ASHA Special Interest. Groups"},{"key":"1342_CR114","doi-asserted-by":"publisher","unstructured":"Hung, K.-H., Lu, X., Fu, S.-W., Tseng, H.-H., Lin, H.-Y., Lin, C.-W., Tsao, Y.: Linguistic Knowledge Transfer Learning for Speech Enhancement (No. arXiv:2503.07078). (2025). https:\/\/doi.org\/10.48550\/arXiv.2503.07078","DOI":"10.48550\/arXiv.2503.07078"},{"key":"1342_CR115","doi-asserted-by":"publisher","unstructured":"Lu, Y.-J., Chang, C.-Y., Yu, C., Liu, C.-F., Hung, J., Watanabe, S., Tsao, Y.: Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information (Version 5). arXiv. (2020). https:\/\/doi.org\/10.48550\/ARXIV.2011.07442","DOI":"10.48550\/ARXIV.2011.07442"},{"key":"1342_CR116","doi-asserted-by":"publisher","unstructured":"Pillai, L.G., Mubarak, D.M.N.: Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope (No. arXiv:2504.13308). (2025). https:\/\/doi.org\/10.48550\/arXiv.2504.13308","DOI":"10.48550\/arXiv.2504.13308"},{"key":"1342_CR117","doi-asserted-by":"publisher","unstructured":"Guti\u00e9rrez-Mu\u00f1oz, M., Coto-Jim\u00e9nez, M.: An Experimental Study on Speech Enhancement Based on a Combination of Wavelets and Deep Learning. Computation. 10(6) (2022). https:\/\/doi.org\/10.3390\/computation10060102","DOI":"10.3390\/computation10060102"},{"issue":"01","key":"1342_CR118","doi-asserted-by":"publisher","first-page":"2350033","DOI":"10.1142\/S0219691323500339","volume":"22","author":"F Hajiaghababa","year":"2024","unstructured":"Hajiaghababa, F., Abutalebi, H.R.: A wavelet network-based speech enhancement system using noisy-as-clean strategy. Int. J. Wavelets Multiresolut Inf. Process. 22(01), 2350033 (2024). https:\/\/doi.org\/10.1142\/S0219691323500339","journal-title":"Int. J. Wavelets Multiresolut Inf. Process."},{"key":"1342_CR119","doi-asserted-by":"publisher","unstructured":"Pradeep Kumar, S., Sheela, K.A.: A DNN Based Adaptive Filter for Speech Enhancement. 2nd IEEE International Conference on Data Science and Information System, ICDSIS 2024. (2024). https:\/\/doi.org\/10.1109\/ICDSIS61070.2024.10594120","DOI":"10.1109\/ICDSIS61070.2024.10594120"},{"key":"1342_CR120","doi-asserted-by":"publisher","unstructured":"Zheng, X., He, Y., Zhang, C.: A Two-Stage Speech Enhancement Method Based on CNNLMS. 899\u2013903. (2023). https:\/\/doi.org\/10.1109\/ICEICT57916.2023.10245549","DOI":"10.1109\/ICEICT57916.2023.10245549"},{"key":"1342_CR121","doi-asserted-by":"publisher","unstructured":"Ye, M., Wan, H.: A Two-stage Speech Enhancement Method Based on Deep Learning Network. 2281(1). (2022). https:\/\/doi.org\/10.1088\/1742-6596\/2281\/1\/012018","DOI":"10.1088\/1742-6596\/2281\/1\/012018"},{"key":"1342_CR122","doi-asserted-by":"publisher","unstructured":"Cantu, M.A., Hohmann, V.: Enhancement of Hearing Aid Processing Via Spatial Spectro-Temporal Post-Filtering with a Prototype Eyeglass-Integrated Array. International Workshop on Acoustic Signal Enhancement, IWAENC, (2022). https:\/\/doi.org\/10.1109\/IWAENC53105.2022.9914762","DOI":"10.1109\/IWAENC53105.2022.9914762"},{"issue":"2","key":"1342_CR123","doi-asserted-by":"publisher","first-page":"138","DOI":"10.3390\/signals1020008","volume":"1","author":"RY Lazim","year":"2020","unstructured":"Lazim, R.Y., Yun, Z., Wu, X.: Improving Speech Quality for Hearing Aid Applications Based on Wiener Filter and Composite of Deep Denoising Autoencoders. Signals. 1(2), 138\u2013156 (2020). https:\/\/doi.org\/10.3390\/signals1020008","journal-title":"Signals"},{"key":"1342_CR124","doi-asserted-by":"publisher","unstructured":"Yoshinaga, K., Sasaoka, N.: Impact Noise Suppression with MWF and Low-Rank Approximation for Binaural Hearing Aids. 287\u2013290. (2022). https:\/\/doi.org\/10.1109\/ISCIT55906.2022.9931294","DOI":"10.1109\/ISCIT55906.2022.9931294"},{"key":"1342_CR125","doi-asserted-by":"publisher","unstructured":"Keshavarz, A., Divandari, M.: Improving speech quality in hearing aids using fuzzy complex and wavelet. 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022. (2022). https:\/\/doi.org\/10.1109\/ICCIA54998.2022.9737161","DOI":"10.1109\/ICCIA54998.2022.9737161"},{"key":"1342_CR126","doi-asserted-by":"publisher","unstructured":"Zhang, X., Ren, X., Zheng, X., Chen, L., Zhang, C., Guo, L., Yu, B.: Low-delay speech enhancement using perceptually motivated target and loss. 2, 826\u2013830. (2021). https:\/\/doi.org\/10.21437\/Interspeech.2021-1410","DOI":"10.21437\/Interspeech.2021-1410"},{"key":"1342_CR127","doi-asserted-by":"crossref","unstructured":"Zezario, R.E., Chen, F., Fuh, C., Wang, H., Tsao, Y.: MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. ArXiv. (2022). https:\/\/arxiv.org\/abs\/2204.03305","DOI":"10.21437\/Interspeech.2022-10828"},{"key":"1342_CR128","doi-asserted-by":"publisher","unstructured":"Wang, C., Chen, H., Du, J., Yin, B., Pan, J.: Multi-Task Joint Learning for Embedding Aware Audio-Visual Speech Enhancement. 255\u2013259. (2022). https:\/\/doi.org\/10.1109\/ISCSLP57327.2022.10038268","DOI":"10.1109\/ISCSLP57327.2022.10038268"},{"issue":"1","key":"1342_CR129","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1515\/jisys-2017-0509","volume":"29","author":"MA Kumar","year":"2020","unstructured":"Kumar, M.A., Chari, K.M.: Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement. J. Intell. Syst. 29(1), 1360\u20131378 (2020). https:\/\/doi.org\/10.1515\/jisys-2017-0509","journal-title":"J. Intell. Syst."},{"key":"1342_CR130","doi-asserted-by":"publisher","unstructured":"Zezario, R.E., Hussain, T., Lu, X., Wang, H.-M., Tsao, Y.: Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement. 2020-May, 6669\u20136673. (2020). https:\/\/doi.org\/10.1109\/ICASSP40776.2020.9053925","DOI":"10.1109\/ICASSP40776.2020.9053925"},{"key":"1342_CR131","doi-asserted-by":"publisher","unstructured":"Irvin, B., Stamenovic, M., Kegler, M., Yang, L.-C.: Self-Supervised Learning for Speech Enhancement Through Synthesis. In Icassp 2023\u20132023 ieee international conference on acoustics, speech and signal processing (icassp) (pp. 1\u20135). IEEE. (2023). https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10094705","DOI":"10.1109\/ICASSP49357.2023.10094705"},{"key":"1342_CR132","doi-asserted-by":"publisher","unstructured":"Ni, A., Kehtarnavaz, N.: Smartphone-Based Hearing Aid Compression and Noise Reduction. Sensors. 22(9) (2022). https:\/\/doi.org\/10.3390\/s22093306","DOI":"10.3390\/s22093306"},{"issue":"4","key":"1342_CR133","doi-asserted-by":"publisher","first-page":"565","DOI":"10.24425\/aoa.2020.134072","volume":"45","author":"H Liu","year":"2020","unstructured":"Liu, H., Wang, W., Xue, L., Yang, J., Wang, Z., Hua, C.: Speech Enhancement Based on Discrete Wavelet Packet Transform and Itakura-Saito Nonnegative Matrix Factorisation. Archives Acoust. 45(4), 565\u2013572 (2020). https:\/\/doi.org\/10.24425\/aoa.2020.134072","journal-title":"Archives Acoust."},{"key":"1342_CR134","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3390\/sym13081310","volume":"13","author":"RYL Al-Taai","year":"2021","unstructured":"Al-Taai, R.Y.L., Wu, X.: Speech enhancement for hearing impaired based on bandpass filters and a compound deep denoising autoencoder. Symmetry. 13, 8 (2021). https:\/\/doi.org\/10.3390\/sym13081310","journal-title":"Symmetry"},{"key":"1342_CR135","doi-asserted-by":"publisher","unstructured":"Sathyapriyan, V., Pedersen, M.S., Brookes, M., \u00d8stergaard, J., Naylor, P.A., Jensen, J.: Speech Enhancement in Hearing Aids Using Target Speech Presence Estimation Based on a Delayed Remote Microphone Signal. ICASSP 2024\u20132024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1006\u20131010. (2024). https:\/\/doi.org\/10.1109\/ICASSP48485.2024.10446069","DOI":"10.1109\/ICASSP48485.2024.10446069"},{"key":"1342_CR136","doi-asserted-by":"publisher","unstructured":"Zezario, R.E., Fuh, C.-S., Wang, H.-M., Tsao, Y.: Speech Enhancement with Zero-Shot Model Selection. 2021-August, 491\u2013495. (2021). https:\/\/doi.org\/10.23919\/EUSIPCO54536.2021.9616163","DOI":"10.23919\/EUSIPCO54536.2021.9616163"},{"key":"1342_CR137","unstructured":"Hattaraki, S.M., Kambalimath, S.G.: Enhancing Speech Intelligibility Hear. Aids Using Spectr. Subtraction 56(07). (2024)"},{"issue":"9","key":"1342_CR138","first-page":"49","volume":"2","author":"G Sharma","year":"2022","unstructured":"Sharma, G., Patil, G., Singh, A.K.: Enhancement of speech signals for hearing aid devices using Kalman filter and adaptive filters. Int. J. Progressive Res. Eng. Manage. Sci. (IJPREMS). 2(9), 49\u201357 (2022). https:\/\/www.ijprems.com","journal-title":"Int. J. Progressive Res. Eng. Manage. Sci. (IJPREMS)"},{"issue":"6","key":"1342_CR139","doi-asserted-by":"publisher","first-page":"3239","DOI":"10.3233\/JCM-226897","volume":"23","author":"Z Qiu","year":"2023","unstructured":"Qiu, Z., Chen, F., Ji, J.: A speech enhancement method combining beamforming with RNN for hearing aids. J. Comput. Methods Sci. Eng. 23(6), 3239\u20133254 (2023). https:\/\/doi.org\/10.3233\/JCM-226897","journal-title":"J. Comput. Methods Sci. Eng."},{"key":"1342_CR140","doi-asserted-by":"publisher","unstructured":"Vazhenina, D., & Markov, K. (202 0). End-to-End Noisy Speech Recognition Using Fourier and Hilbert Spectrum Features. Electron. 9(7). https:\/\/doi.org\/10.3390\/electronics9071157","DOI":"10.3390\/electronics9071157"},{"key":"1342_CR141","doi-asserted-by":"publisher","DOI":"10.3390\/app15062919","author":"y zhang","year":"2025","unstructured":"Zhang,Y., Zou, H., & Zhu, J. (2025). Speech Enhancement Based on Unidirectional Interactive Noise Modeling Assistance. Appl. Sci. 15(6). https:\/\/doi.org\/10.3390\/app15062919","journal-title":"Applied Sciences"},{"key":"1342_CR142","doi-asserted-by":"publisher","first-page":"36018","DOI":"10.1109\/ACCESS.2022.3163856","volume":"10","author":"F Andayani","year":"2022","unstructured":"Andayani,F., Theng, L. B., Tsun, M. T., & Chua, C. (2022). Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files. IEEE Access, 10, 36018\u201336027. https:\/\/doi.org\/10.1109\/ACCESS.2022.3163856","journal-title":"IEEE Access"},{"key":"1342_CR143","doi-asserted-by":"crossref","unstructured":"Tran, L. T. T., & Nordholm, S. E. (2021). A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids. Audiol. Res. 11(3), 389\u201340 9.","DOI":"10.3390\/audiolres11030037"},{"key":"1342_CR144","doi-asserted-by":"crossref","unstructured":"Green, T., Hilkhuysen, G., Huckvale, M., Rosen, S., Brookes, M., Moore, A., Naylor, P., Lightburn, L., & Xue, W. (2022). Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement. Trends in Hear. 26, 23312165211068629.","DOI":"10.1177\/23312165211068629"},{"key":"1342_CR145","doi-asserted-by":"publisher","first-page":"19","DOI":"10.14203\/jet.v21.19-26","volume":"21","author":"A Yuliani","year":"2021","unstructured":"Yuliani, A., Amri, M., Suryawati, E., Ramdan, A., & Pardede, H. (2021). Speech Enhancement Using Deep Learning Methods: A Review. Jurnal Elektronika Dan Telekomunikasi, 21, 19. https:\/\/doi.org\/10.14203\/jet.v21.19-26","journal-title":"Jurnal Elektronika Dan Telekomunikasi"},{"key":"1342_CR146","doi-asserted-by":"publisher","unstructured":"Tang, K. (2024). Comparative analysis of voice denoising using machine learning and traditional denoising. Appl. Comput. Eng. 30(1), 118\u2013124. https:\/\/doi.org\/10.54254\/2755-2721\/30\/20230083","DOI":"10.54254\/2755-2721\/30\/20230083"},{"key":"1342_CR147","doi-asserted-by":"publisher","unstructured":"Banjanovic-Mehmedovic, L., & Husakovi\u0107, A. (2023). Edge AI: Reshaping the Future of Edge Computing with Artificial Intelligence. https:\/\/doi.org\/10.5644\/PI2023.209.07","DOI":"10.5644\/PI2023.209.07"},{"key":"1342_CR148","doi-asserted-by":"publisher","unstructured":"Tan, K., & Wang, D. (2018). A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement. Interspeech 2018, 3229\u20133233 https:\/\/doi.org\/10.21437\/Interspeech.2018-1405","DOI":"10.21437\/Interspeech.2018-1405"},{"key":"1342_CR149","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2025.110082","author":"R Ullah","year":"2025","unstructured":"Ullah, R., Zhang, S., Asif, M., & Wahab, F. (2025). Multimodal learning-based speech enhancement and separation, recent innovations, new horizons, challenges and real-world applications. Comput. Biol. Med. 190, 110082. https:\/\/doi.org\/10.1016\/j.compbiomed.2025.110082","journal-title":"Computers in Biology and Medicine,"},{"key":"1342_CR150","doi-asserted-by":"publisher","first-page":"110273","DOI":"10.1016\/j.knosys.2023.110273","volume":"263","author":"W Saeed","year":"2023","unstructured":"Saeed, W., Omlin, C.: Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowl. Based Syst. 263, 110273 (2023). https:\/\/doi.org\/10.1016\/j.knosys.2023.110273","journal-title":"Knowl. Based Syst."},{"key":"1342_CR151","doi-asserted-by":"crossref","unstructured":"Sivaraman, A., & Kim, M. (2022). Efficient Personalized Speech Enhancement Through Self-Supervised Learning. IEEE J. Sel. Top. Sign. Proces. 16, 1\u201315.","DOI":"10.1109\/JSTSP.2022.3181782"},{"key":"1342_CR152","doi-asserted-by":"crossref","unstructured":"Jelcicova, Z., Mardari, A., Andersson, O., Kasapaki, E., & Sparso, J. (2020). A Neural Network Engine for Resource Constrained Embedded Systems. 2020 54th Asilomar Conf. Signals. Syst. Comput. 125\u2013131.","DOI":"10.1109\/IEEECONF51394.2020.9443426"}],"container-title":["Universal Access in the Information Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10209-026-01342-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10209-026-01342-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10209-026-01342-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T09:24:31Z","timestamp":1777541071000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10209-026-01342-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,30]]},"references-count":152,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["1342"],"URL":"https:\/\/doi.org\/10.1007\/s10209-026-01342-7","relation":{},"ISSN":["1615-5289","1615-5297"],"issn-type":[{"value":"1615-5289","type":"print"},{"value":"1615-5297","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,30]]},"assertion":[{"value":"14 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 April 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"75"}}