{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/empirical-evaluation-of-speaker-adaptation-on","title":"Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model","arxiv_id":"1803.10146","date":"2018-03-27","proceeding":null,"authors":["Ke Wang","Junbo Zhang","Yujun Wang","Lei Xie"],"abstract":"Speaker adaptation aims to estimate a speaker specific acoustic model from a\nspeaker independent one to minimize the mismatch between the training and\ntesting conditions arisen from speaker variabilities. A variety of neural\nnetwork adaptation methods have been proposed since deep learning models have\nbecome the main stream. But there still lacks an experimental comparison\nbetween different methods, especially when DNN-based acoustic models have been\nadvanced greatly. In this paper, we aim to close this gap by providing an\nempirical evaluation of three typical speaker adaptation methods: LIN, LHUC and\nKLD. Adaptation experiments, with different size of adaptation data, are\nconducted on a strong TDNN-LSTM acoustic model. More challengingly, here, the\nsource and target we are concerned with are standard Mandarin speaker model and\naccented Mandarin speaker model. We compare the performances of different\nmethods and their combinations. Speaker adaptation performance is also examined\nby speaker's accent degree.","url_abs":"http://arxiv.org/abs/1803.10146v3","url_pdf":"http://arxiv.org/pdf/1803.10146v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"empirical-evaluation-of-speaker-adaptation-on","repo_url":"https://github.com/wangkenpu/Adaptation-Interspeech18","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}