TR2021-137
On The Compensation Between Magnitude and Phase in Speech Separation
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- "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.BibTeX TR2021-137 PDF
- @article{Wang2021nov2,
- author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
- title = {On The Compensation Between Magnitude and Phase in Speech Separation},
- journal = {IEEE Signal Processing Letters},
- year = 2021,
- volume = 28,
- pages = {2018--2022},
- month = nov,
- doi = {10.1109/LSP.2021.3116502},
- url = {https://www.merl.com/publications/TR2021-137}
- }
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- "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.
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Research Areas:
Abstract:
Many recent studies optimize loss functions defined solely in the time or complex domain, without including a loss on magnitude. Although such loss functions typically produce better scores if the evaluation metrics are objective time-domain metrics, they however produce worse scores on speech quality and intelligibility metrics and usually lead to worse speech recognition performance, compared with including a loss on magnitude. While this phenomenon has been experimentally observed by many studies, it is often not accurately explained and there lacks a thorough understanding on its fundamental cause. This paper provides a novel view from the perspective of the implicit compensation between estimated magnitude and phase.