{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T20:13:49Z","timestamp":1784837629822,"version":"3.55.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Speech & Language"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.csl.2026.102015","type":"journal-article","created":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T05:46:54Z","timestamp":1780811214000},"page":"102015","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Adaptive Non-Local means with Kalman filtering for an innovative speech enhancement framework"],"prefix":"10.1016","volume":"101","author":[{"given":"R","family":"Senthamizh Selvi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Resmi R.","family":"Nair","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.R","family":"Suresh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.csl.2026.102015_bib0001","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.1109\/TASLP.2024.3393718","article-title":"Cmgan: conformer-based metric-gan for monaural speech enhancement","volume":"32","author":"Abdulatif","year":"2024","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0002","doi-asserted-by":"crossref","first-page":"15348","DOI":"10.1109\/ACCESS.2024.3358425","article-title":"Frequency regulation in interconnected power systems through enhanced beluga whale optimised flatness-based active disturbance rejection control","volume":"12","author":"Ali","year":"2024","journal-title":"IEEE Access."},{"key":"10.1016\/j.csl.2026.102015_bib0003","doi-asserted-by":"crossref","first-page":"189564","DOI":"10.1109\/ACCESS.2024.3516790","article-title":"Utilizing enhanced particle swarm optimization for feature selection in gender-emotion detection from english speech signals","volume":"12","author":"Amjad","year":"2024","journal-title":"IEEE Access."},{"issue":"3","key":"10.1016\/j.csl.2026.102015_bib0004","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1007\/s10772-024-10127-3","article-title":"An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture","volume":"27","author":"Balasubrahmanyam","year":"2024","journal-title":"Int. J. Speech. Technol."},{"issue":"3","key":"10.1016\/j.csl.2026.102015_bib0005","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1007\/s10772-024-10127-3","article-title":"An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture","volume":"27","author":"Balasubrahmanyam","year":"2024","journal-title":"Int. J. Speech. Technol."},{"key":"10.1016\/j.csl.2026.102015_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.apacoust.2023.109524","article-title":"Ideal ratio mask estimation based on cochleagram for audio-visual monaural speech enhancement","volume":"211","author":"Balasubramanian","year":"2023","journal-title":"Appl. Acoust."},{"key":"10.1016\/j.csl.2026.102015_bib0007","doi-asserted-by":"crossref","first-page":"5313","DOI":"10.1007\/s00034-023-02340-3","article-title":"Estimation of ideal binary mask for audio-visual monaural speech enhancement","volume":"42","author":"Balasubramanian","year":"2023","journal-title":"Circuits. Syst. Signal. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0008","doi-asserted-by":"crossref","first-page":"144421","DOI":"10.1109\/ACCESS.2023.3343738","article-title":"Speech enhancement using dynamic learning in knowledge distillation via reinforcement learning","volume":"11","author":"Chu","year":"2023","journal-title":"IEEe Access."},{"key":"10.1016\/j.csl.2026.102015_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.specom.2024.103068","article-title":"Speech intelligibility prediction using generalized ESTOI with fine-tuned parameters","volume":"159","author":"Drgas","year":"2024","journal-title":"Speech. Commun."},{"key":"10.1016\/j.csl.2026.102015_bib0010","doi-asserted-by":"crossref","first-page":"35707","DOI":"10.1109\/ACCESS.2025.3542953","article-title":"Deep learning-based coding strategy for improved cochlear implant speech perception in noisy environments","volume":"13","author":"Essaid","year":"2025","journal-title":"IEEe Access."},{"issue":"15","key":"10.1016\/j.csl.2026.102015_bib0011","doi-asserted-by":"crossref","first-page":"8183","DOI":"10.3390\/app15158183","article-title":"TSDCA-BA: an ultra-lightweight speech enhancement model for real-time hearing aids with multi-scale STFT fusion","volume":"15","author":"Fan","year":"2025","journal-title":"Appl. Sci."},{"key":"10.1016\/j.csl.2026.102015_bib0012","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1109\/TASLP.2023.3265202","article-title":"Integrating uncertainty into neural network-based speech enhancement","volume":"31","author":"Fang","year":"2023","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0013","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1109\/TASLP.2020.3042013","article-title":"Robust constrained MFMVDR filters for single-channel speech enhancement based on spherical uncertainty set","volume":"29","author":"Fischer","year":"2021","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0014","doi-asserted-by":"crossref","first-page":"3647","DOI":"10.1007\/s11042-022-13302-3","article-title":"Speech enhancement using long short-term memory with trained speech features and adaptive wiener filter","volume":"82","author":"Garg","year":"2023","journal-title":"Multimed. Tools. Appl."},{"key":"10.1016\/j.csl.2026.102015_bib0015","doi-asserted-by":"crossref","unstructured":"Hussain, T., Dashtipour, K., Tsao, Y., Hussain, A., 2024. Audio-visual speech enhancement in noisy environments via emotion-based contextual cues. arXiv preprint arXiv:2402.16394.","DOI":"10.21437\/AVSEC.2024-7"},{"key":"10.1016\/j.csl.2026.102015_bib0016","doi-asserted-by":"crossref","first-page":"39765","DOI":"10.1109\/ACCESS.2025.3546434","article-title":"A hybrid speech enhancement technique based on discrete wavelet transform and spectral subtraction","volume":"13","author":"Iqbal","year":"2025","journal-title":"IEEe Access."},{"key":"10.1016\/j.csl.2026.102015_bib0017","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1007\/s10772-022-09987-4","article-title":"Single-channel speech enhancement using implicit wiener filter for high-quality speech communication","volume":"25","author":"Jaiswal","year":"2022","journal-title":"Int. J. Speech. Technol."},{"key":"10.1016\/j.csl.2026.102015_bib0018","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s10772-023-10020-5","article-title":"Weibull and Nakagami speech priors based regularised NMF with adaptive wiener filter for speech enhancement","volume":"26","author":"Jannu","year":"2023","journal-title":"Int. J. Speech. Technol."},{"key":"10.1016\/j.csl.2026.102015_bib0019","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1109\/TASLP.2023.3340603","article-title":"Selective acoustic feature enhancement for speech emotion recognition with noisy speech","volume":"32","author":"Leem","year":"2024","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101976","article-title":"TaBE: decoupling spatial and spectral processing with Taylor\u2019s unfolding method in the beamspace domain for multi-channel speech enhancement","volume":"101","author":"Li","year":"2024","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.csl.2026.102015_bib0021","unstructured":"Hewei Li, Rui Ma, Fengjiao Zhou, Mohamad Shaharudin bin Samsurijan, Linghui Li, Zhe Jiang. \"A Hybrid Evolutionary Deep Learning Framework for Cyber-Physical Public Health Systems in Socially Sustainable Cities: Transformer...Bilstm Model Optimized with Modified Cma-Es.\" Available at SSRN 5373997."},{"key":"10.1016\/j.csl.2026.102015_bib0022","doi-asserted-by":"crossref","first-page":"2738","DOI":"10.1109\/TASLP.2023.3288418","article-title":"Improving speech enhancement evaluation by leveraging contextual broad phonetic class information","volume":"31","author":"Lu","year":"2023","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107562","article-title":"Explicit estimation of magnitude and phase spectra in parallel for high-quality speech enhancement","volume":"189","author":"Lu","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.csl.2026.102015_bib0024","series-title":"2025 5th International Conference on Soft Computing for Security Applications (ICSCSA)","first-page":"1656","article-title":"Speech-to-sign language translation framework for Telugu language using residual bidirectional LSTM with attention network","author":"Mahalakshmi","year":"2025"},{"key":"10.1016\/j.csl.2026.102015_bib0025","series-title":"ICASSP 2023 - 2023 IEEE international conference on acoustics, speech and signal processing (ICASSP)","first-page":"1","article-title":"Learning interpretable filters in wav-UNet for speech enhancement","author":"Mathieu","year":"2023"},{"key":"10.1016\/j.csl.2026.102015_bib0026","series-title":"Towards realistic speech enhancement: a deep learning framework leveraging speech correlations, spectral language models, and perceptual evaluation","author":"Nayem","year":"2024"},{"key":"10.1016\/j.csl.2026.102015_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120746","article-title":"The speech signal enhancement approach with multiple sub-frames analysis for complex magnitude and phase spectrum recompense","volume":"232","author":"Nisa","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.csl.2026.102015_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120746","article-title":"The speech signal enhancement approach with multiple sub-frames analysis for complex magnitude and phase spectrum recompense","volume":"232","author":"Nisa","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.csl.2026.102015_bib0029","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1007\/s00034-022-02123-2","article-title":"Neural comb filtering using sliding window attention network for speech enhancement","volume":"42","author":"Parvathala","year":"2023","journal-title":"Circuits. Syst. Signal. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0030","doi-asserted-by":"crossref","first-page":"5604","DOI":"10.1109\/TMM.2025.3542991","article-title":"Beyond correlation: evaluating multimedia quality models with the constrained concordance index","volume":"27","author":"Ragano","year":"2025","journal-title":"IEEe Trans, Multimed."},{"key":"10.1016\/j.csl.2026.102015_bib0031","doi-asserted-by":"crossref","first-page":"55408","DOI":"10.1109\/ACCESS.2022.3176370","article-title":"Location determination of electric vehicles parking lot with distribution system by mexican AXOLOTL optimisation and wild horse optimiser","volume":"10","author":"Rao","year":"2022","journal-title":"IEEe Access."},{"key":"10.1016\/j.csl.2026.102015_bib0032","series-title":"In INTERSPEECH","first-page":"2692","article-title":"A deep learning-based kalman filter for speech enhancement","author":"Roy","year":"2020"},{"key":"10.1016\/j.csl.2026.102015_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107914","article-title":"DeepResGRU: residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition","volume":"238","author":"Saleem","year":"2022","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.csl.2026.102015_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107914","article-title":"DeepResGRU: residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition","volume":"238","author":"Saleem","year":"2022","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.csl.2026.102015_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2024.104408","article-title":"Time domain speech enhancement with CNN and time-attention transformer","volume":"147","author":"Saleem","year":"2024","journal-title":"Digit. Signal. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0036","unstructured":"Schr\u00f6ter, H., Rosenkranz, T., Escalante-B, A.N., Maier, A. \"Deepfilternet: Perceptually motivated real-time speech enhancement,\" arXiv preprint arXiv:2305.08227, 2023."},{"key":"10.1016\/j.csl.2026.102015_bib0037","article-title":"Speech enhancement system using deep neural network optimized with battle royale optimization","volume":"92","author":"Shukla","year":"2024","journal-title":"Biomed. Signal. Process. Control"},{"key":"10.1016\/j.csl.2026.102015_bib0038","doi-asserted-by":"crossref","first-page":"4242","DOI":"10.1109\/ACCESS.2023.3235010","article-title":"State-of-the-art analysis of deep learning-based monaural speech source separation techniques","volume":"11","author":"Soni","year":"2023","journal-title":"IEEe Access."},{"key":"10.1016\/j.csl.2026.102015_bib0039","doi-asserted-by":"crossref","first-page":"1278","DOI":"10.1109\/TASLPRO.2025.3548454","article-title":"Imposing correlation structures for deep binaural spatio-temporal wiener filtering","volume":"33","author":"Tammen","year":"2025","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0040","first-page":"179","article-title":"Speech enhancement using Kalman and wiener filtering","volume":"7","author":"Taraka Raghavendra Sai","year":"2021","journal-title":"Int. J. Mod. Trends Sci. Technol."},{"key":"10.1016\/j.csl.2026.102015_bib0041","doi-asserted-by":"crossref","first-page":"102876","DOI":"10.1109\/ACCESS.2022.3208700","article-title":"Clouded leopard optimization: a new nature-inspired optimization algorithm","volume":"10","author":"Trojovsk\u00e1","year":"2022","journal-title":"IEEe Access."},{"issue":"3","key":"10.1016\/j.csl.2026.102015_bib0042","first-page":"1","article-title":"Speech signal enhancement with integrated weighted filtering for PSNR reduction in multimedia applications","volume":"2","author":"Veeramakali","year":"2024","journal-title":"J. Comput. Allied Intell."},{"key":"10.1016\/j.csl.2026.102015_bib0043","doi-asserted-by":"crossref","first-page":"322","DOI":"10.37391\/IJEER.120144","article-title":"Speech enhancement with background noise suppression in various data corpus using Bi-LSTM algorithm","volume":"12","author":"Vinothkumar","year":"2024","journal-title":"Int. J. Electr. Electron. Res."},{"key":"10.1016\/j.csl.2026.102015_bib0044","doi-asserted-by":"crossref","first-page":"3174","DOI":"10.1109\/TASLPRO.2025.3589862","article-title":"Word error rate definitions and algorithms for long-form multi-talker speech recognition","volume":"33","author":"von Neumann","year":"2025","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0045","doi-asserted-by":"crossref","first-page":"6035","DOI":"10.1007\/s00034-021-01750-5","article-title":"Modified nonlocal means filtering for speech enhancement and its FPGA prototype","volume":"40","author":"Vumanthala","year":"2021","journal-title":"Circuits. Syst. Signal. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0046","article-title":"Speech recognition enhancement based on wireless network sensors application in interactive intelligent teaching system","volume":"31","author":"Wang","year":"2024","journal-title":"Meas.: Sens."},{"key":"10.1016\/j.csl.2026.102015_bib0047","series-title":"ICASSP 2025 - 2025 IEEE international conference on acoustics, speech and signal processing (ICASSP)","first-page":"1","article-title":"Personalized speech enhancement without user enrollment for real-world audio replay scenarios","author":"Wei","year":"2025"},{"key":"10.1016\/j.csl.2026.102015_bib0048","doi-asserted-by":"crossref","first-page":"4596","DOI":"10.1109\/TASLP.2024.3473315","article-title":"Real-time multichannel deep speech enhancement in hearing aids: comparing monaural and binaural processing in complex acoustic scenarios","volume":"32","author":"Westhausen","year":"2024","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.apacoust.2025.110858","article-title":"FSformer: sparsely and effectively learning key features for multi-channel speech enhancement","volume":"240","author":"Xu","year":"2025","journal-title":"Appl. Acoust."},{"issue":"3","key":"10.1016\/j.csl.2026.102015_bib0050","doi-asserted-by":"crossref","first-page":"397","DOI":"10.23919\/cje.2022.00.138","article-title":"Quaternion Quasi-Chebyshev non-local means for colour image denoising","volume":"32","author":"Xu","year":"2023","journal-title":"Chin. J. Electron."},{"key":"10.1016\/j.csl.2026.102015_bib0052","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/TASLP.2022.3225649","article-title":"A time-frequency attention module for neural speech enhancement","volume":"31","author":"Zhang","year":"2023","journal-title":"IEEE\/ACM. Trans. Audio Speech. Lang. Process."},{"key":"10.1016\/j.csl.2026.102015_bib0051","doi-asserted-by":"crossref","first-page":"26233","DOI":"10.1007\/s11042-023-16480-w","article-title":"Single channel speech enhancement using iterative constrained NMF-based adaptive wiener gain","volume":"83","author":"Yechuri","year":"2024","journal-title":"Multimed. Tools and Appl."},{"key":"10.1016\/j.csl.2026.102015_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.specom.2023.103026","article-title":"Evaluation of single-channel speech enhancement algorithms on mandarin listeners with different immersion conditions in New Zealand English","volume":"157","author":"Zhang","year":"2024","journal-title":"Speech. Commun."},{"key":"10.1016\/j.csl.2026.102015_bib0054","doi-asserted-by":"crossref","first-page":"22487","DOI":"10.1109\/ACCESS.2022.3153727","article-title":"The simplified Aquila optimisation algorithm","volume":"10","author":"Zhao","year":"2022","journal-title":"IEEe Access."},{"key":"10.1016\/j.csl.2026.102015_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2023.104151","article-title":"A robust and lightweight voice activity detection algorithm for speech enhancement at low signal-to-noise ratio","volume":"141","author":"Zhu","year":"2023","journal-title":"Digit. Signal. Process."}],"container-title":["Computer Speech & Language"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0885230826000781?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0885230826000781?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T19:44:43Z","timestamp":1784835883000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0885230826000781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":55,"alternative-id":["S0885230826000781"],"URL":"https:\/\/doi.org\/10.1016\/j.csl.2026.102015","relation":{},"ISSN":["0885-2308"],"issn-type":[{"value":"0885-2308","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive Non-Local means with Kalman filtering for an innovative speech enhancement framework","name":"articletitle","label":"Article Title"},{"value":"Computer Speech & Language","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csl.2026.102015","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102015"}}