TR2021-020
Deep clustering-based single-channel speech separation and recent advances
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- , "Deep Clustering-based Single Channel Speech Separation and Recent Advances", Acoustical Science and Technology, DOI: 10.1250/ast.41.465, Vol. 41, No. 2, pp. 465-471, March 2020.BibTeX TR2021-020 PDF
- @article{Aihara2020jun,
- author = {{Aihara, Ryo and Wichern, Gordon and Le Roux, Jonathan}},
- title = {Deep Clustering-based Single Channel Speech Separation and Recent Advances},
- journal = {Acoustical Science and Technology},
- year = 2020,
- volume = 41,
- number = 2,
- pages = {465--471},
- month = mar,
- doi = {10.1250/ast.41.465},
- url = {https://www.merl.com/publications/TR2021-020}
- }
- , "Deep Clustering-based Single Channel Speech Separation and Recent Advances", Acoustical Science and Technology, DOI: 10.1250/ast.41.465, Vol. 41, No. 2, pp. 465-471, March 2020.
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Research Areas:
Abstract:
The recently-proposed deep clustering algorithm introduced significant advances in single-channel speaker-independent multi-speaker speech separation. In this paper, we review deep clustering and its improved method called chimera net. In addition, we describe our architectures for reducing the latency of deep clustering by combining block processing and teacher-student learning. Unfolding of a phase reconstruction algorithm and a complex mask estimation method for speech separation are also described.
Related Publication
BibTeX J-STAGE
- @article{Aihara2020apr,
- author = {{Aihara, Ryo and Wichern, Gordon and Le Roux, Jonathan}},
- title = {Deep clusteringによる シングルチャネル音声分離とその発展},
- journal = {The Journal of the Acoustical Society of Japan},
- year = 2020,
- volume = 76,
- number = 2,
- pages = {101--108},
- month = apr,
- doi = {10.20697/jasj.76.2_101},
- url = {https://www.jstage.jst.go.jp/article/jasj/76/2/76_101/_article/-char/en}
- }