A review on speech separation using NMF and its extensions

Tuan Pham, Yuan Shan Lee, Yu An Chen, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Speech separation aims to estimate the target signals produced by individual speech sources from a mixture signal. In this paper, we especially review on data-driven separation methods, where algorithms will be enhanced to produce better dictionary learning which considers the geometric of input data and efficiently performs separation mixture. We review the existing algorithms using non-negative matrix factorization, sparse coding, mixture local dictionary, group lasso, and graph regularization to produce knowledge bases. We also review the extension of NMF by incorporating two state-of-art techniques i.e. bilevel optimization and deep neural network.

原文???core.languages.en_GB???
主出版物標題Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面26-29
頁數4
ISBN(電子)9781467382373
DOIs
出版狀態已出版 - 22 6月 2016
事件3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong
持續時間: 19 12月 201522 12月 2015

出版系列

名字Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

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???event.eventtypes.event.conference???3rd International Conference on Orange Technologies, ICOT 2015
國家/地區Hong Kong
城市Hong Kong
期間19/12/1522/12/15

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