{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T22:06:43Z","timestamp":1779228403900,"version":"3.51.4"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and Communications Technology Promotion","doi-asserted-by":"publisher","award":["RS-2020-II201373"],"award-info":[{"award-number":["RS-2020-II201373"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2025-00557944"],"award-info":[{"award-number":["RS-2025-00557944"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Speech & Language"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.csl.2026.101959","type":"journal-article","created":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T16:12:53Z","timestamp":1771690373000},"page":"101959","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A dual-branch parallel network for speech enhancement and restoration"],"prefix":"10.1016","volume":"100","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6253-2543","authenticated-orcid":false,"given":"Da-Hee","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dail","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2610-2323","authenticated-orcid":false,"given":"Joon-Hyuk","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeonghwan","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han-Gil","family":"Moon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.csl.2026.101959_b1","doi-asserted-by":"crossref","unstructured":"Byun, J., Ji, Y., Chung, S.-W., Choe, S., Choi, M.-S., 2023. An Empirical Study on Speech Restoration Guided by Self-Supervised Speech Representation. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1\u20135.","DOI":"10.1109\/ICASSP49357.2023.10095881"},{"key":"10.1016\/j.csl.2026.101959_b2","doi-asserted-by":"crossref","unstructured":"Cao, R., Abdulatif, S., Yang, B., 2022. CMGAN: Conformer-based metric GAN for speech enhancement. In: Proc. INTERSPEECH.","DOI":"10.36227\/techrxiv.21187846.v2"},{"key":"10.1016\/j.csl.2026.101959_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.csl.2025.101795","article-title":"DDP-Unet: A mapping neural network for single-channel speech enhancement","volume":"93","author":"Chen","year":"2025","journal-title":"Comput. Speech Lang."},{"key":"10.1016\/j.csl.2026.101959_b4","doi-asserted-by":"crossref","unstructured":"Defossez, A., Synnaeve, G., Adi, Y., 2020. Real time speech enhancement in the waveform domain. In: Proc. INTERSPEECH.","DOI":"10.21437\/Interspeech.2020-2409"},{"key":"10.1016\/j.csl.2026.101959_b5","doi-asserted-by":"crossref","unstructured":"Ernst, O., Chazan, S.E., Gannot, S., Goldberger, J., 2018. Speech dereverberation using fully convolutional networks. In: Proc. European Signal Processing Conference (EUSIPCO). pp. 390\u2013394.","DOI":"10.23919\/EUSIPCO.2018.8553141"},{"issue":"4","key":"10.1016\/j.csl.2026.101959_b6","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1109\/TIM.2009.2024697","article-title":"Temporal dynamics for blind measurement of room acoustical parameters","volume":"59","author":"Falk","year":"2010","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"1","key":"10.1016\/j.csl.2026.101959_b7","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1109\/TASL.2007.911054","article-title":"Evaluation of objective quality measures for speech enhancement","volume":"16","author":"Hu","year":"2008","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.101959_b8","doi-asserted-by":"crossref","unstructured":"Kim, D., Chung, S.-W., Han, H., Ji, Y., Kang, H.-G., 2023. HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders. In: Proc. INTERSPEECH.","DOI":"10.21437\/Interspeech.2023-1642"},{"key":"10.1016\/j.csl.2026.101959_b9","doi-asserted-by":"crossref","unstructured":"Lemercier, J.-M., Richter, J., Welker, S., Gerkmann, T., 2023. Analysing diffusion-based generative approaches versus discriminative approaches for speech restoration. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1\u20135.","DOI":"10.1109\/ICASSP49357.2023.10095258"},{"key":"10.1016\/j.csl.2026.101959_b10","doi-asserted-by":"crossref","unstructured":"Li, K., Lee, C.-H., 2015. A deep neural network approach to speech bandwidth expansion. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 4395\u20134399.","DOI":"10.1109\/ICASSP.2015.7178801"},{"key":"10.1016\/j.csl.2026.101959_b11","doi-asserted-by":"crossref","unstructured":"Liu, H., Liu, X., Kong, Q., Tian, Q., Zhao, Y., Wang, D., Huang, C., Wang, Y., 2022. Voicefixer: A unified framework for high-fidelity speech restoration. In: Proc. INTERSPEECH.","DOI":"10.21437\/Interspeech.2022-11026"},{"key":"10.1016\/j.csl.2026.101959_b12","unstructured":"Loshchilov, I., Hutter, F., 2019. Decoupled weight decay regularization. In: Proc. International Conference on Learning Representations (ICLR)."},{"key":"10.1016\/j.csl.2026.101959_b13","doi-asserted-by":"crossref","unstructured":"Lu, Y.-X., Ai, Y., Ling, Z.-H., 2023. MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra. In: Proc. INTERSPEECH.","DOI":"10.21437\/Interspeech.2023-1441"},{"issue":"8","key":"10.1016\/j.csl.2026.101959_b14","doi-asserted-by":"crossref","first-page":"1256","DOI":"10.1109\/TASLP.2019.2915167","article-title":"Conv-TasNet: Surpassing ideal time\u2013frequency magnitude masking for speech separation","volume":"27","author":"Luo","year":"2019","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.101959_b15","doi-asserted-by":"crossref","unstructured":"Nguyen, V.-A., Nguyen, A.H., Khong, A.W., 2022. TUNet: A block-online bandwidth extension model based on transformers and self-supervised pretraining. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 161\u2013165.","DOI":"10.1109\/ICASSP43922.2022.9747699"},{"key":"10.1016\/j.csl.2026.101959_b16","doi-asserted-by":"crossref","unstructured":"Park, S.R., Lee, J.W., 2017. A Fully Convolutional Neural Network for Speech Enhancement. In: Proc. INTERSPEECH. pp. 1993\u20131997.","DOI":"10.21437\/Interspeech.2017-1465"},{"key":"10.1016\/j.csl.2026.101959_b17","unstructured":"Recommendation, I.-T., 2001. Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs. Rec. ITU-T P. 862."},{"key":"10.1016\/j.csl.2026.101959_b18","doi-asserted-by":"crossref","DOI":"10.1109\/TASLP.2023.3285241","article-title":"Speech enhancement and dereverberation with diffusion-based generative models","author":"Richter","year":"2023","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.101959_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113452","article-title":"CTSE-Net: Resource-efficient convolutional and TF-transformer network for speech enhancement","volume":"317","author":"Saleem","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.csl.2026.101959_b20","doi-asserted-by":"crossref","unstructured":"Scheibler, R., Fujita, Y., Shirahata, Y., Komatsu, T., 2024. Universal Score-based Speech Enhancement with High Content Preservation. In: Proc. INTERSPEECH.","DOI":"10.21437\/Interspeech.2024-138"},{"key":"10.1016\/j.csl.2026.101959_b21","series-title":"Universal speech enhancement with score-based diffusion","author":"Serr\u00e0","year":"2022"},{"key":"10.1016\/j.csl.2026.101959_b22","doi-asserted-by":"crossref","unstructured":"Shi, H., Wang, L., Ge, M., Li, S., Dang, J., 2020. Spectrograms fusion with minimum difference masks estimation for monaural speech dereverberation. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 7544\u20137548.","DOI":"10.1109\/ICASSP40776.2020.9054661"},{"issue":"7","key":"10.1016\/j.csl.2026.101959_b23","doi-asserted-by":"crossref","first-page":"2125","DOI":"10.1109\/TASL.2011.2114881","article-title":"An algorithm for intelligibility prediction of time-frequency weighted noisy speech","volume":"19","author":"Taal","year":"2011","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.101959_b24","doi-asserted-by":"crossref","unstructured":"Tan, K., Wang, D., 2018. A convolutional recurrent neural network for real-time speech enhancement. In: Proc. INTERSPEECH. pp. 3229\u20133233.","DOI":"10.21437\/Interspeech.2018-1405"},{"key":"10.1016\/j.csl.2026.101959_b25","series-title":"Noisy reverberant speech database for training speech enhancement algorithms and tts models","author":"Valentini-Botinhao","year":"2017"},{"issue":"10","key":"10.1016\/j.csl.2026.101959_b26","doi-asserted-by":"crossref","first-page":"1702","DOI":"10.1109\/TASLP.2018.2842159","article-title":"Supervised speech separation based on deep learning: An overview","volume":"26","author":"Wang","year":"2018","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"issue":"1","key":"10.1016\/j.csl.2026.101959_b27","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/TASLP.2014.2364452","article-title":"A regression approach to speech enhancement based on deep neural networks","volume":"23","author":"Xu","year":"2014","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.csl.2026.101959_b28","doi-asserted-by":"crossref","unstructured":"Yang, D.-H., Chang, J.-H., 2023. Selective Film Conditioning with CTC-Based ASR Probability for Speech Enhancement. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1\u20135.","DOI":"10.1109\/ICASSP49357.2023.10096375"},{"key":"10.1016\/j.csl.2026.101959_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.csl.2025.101798","article-title":"LRetUNet: A U-net-based retentive network for single-channel speech enhancement","volume":"93","author":"Zhang","year":"2025","journal-title":"Comput. Speech Lang."},{"key":"10.1016\/j.csl.2026.101959_b30","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1109\/TASLP.2020.2995273","article-title":"Monaural speech dereverberation using temporal convolutional networks with self attention","volume":"28","author":"Zhao","year":"2020","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."}],"container-title":["Computer Speech & Language"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0885230826000227?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0885230826000227?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T21:14:27Z","timestamp":1779225267000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0885230826000227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":30,"alternative-id":["S0885230826000227"],"URL":"https:\/\/doi.org\/10.1016\/j.csl.2026.101959","relation":{},"ISSN":["0885-2308"],"issn-type":[{"value":"0885-2308","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A dual-branch parallel network for speech enhancement and restoration","name":"articletitle","label":"Article Title"},{"value":"Computer Speech & Language","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csl.2026.101959","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"101959"}}