NDLI: Phase-aware subspace decomposition for single channel speech separation

Content Provider	IET Digital Library
Author	Wiem, Belhedi Anouar, Ben Messaoud Mohamed Aïcha, Bouzid
Abstract	Single channel speech separation (SCSS) is often required as post-processing in several applications that facilitate automatic human-to-human or human-to-machine communication in challenging acoustic environments such as voice command for smart homes or robotics. The proposed SCSS system, that the authors call phase-aware subspace decomposition (PASD), relies on subspace decomposition for speech separation followed by a phase-aware mask for final subspace recovery. In fact, the proposed approach decomposes the mixture into a sparse and low-rank subspace in the frequency domain by rank minimising that relies on iterative decomposition using adaptive thresholding in each iteration to achieve soft estimation and considers phase-information for reconstruction. Separation results are reported in terms of both intrusive and non-intrusive metrics using realistic recordings corrupted with real-life noises. As speech separation systems are expected to have maximal interference rejection without speech distortion, we also evaluate the proposed system by recognising speech from a target speaker in the presence of either concurrent speech or noise. Recognition results show that separated signals are of high intelligibility so that they can be exploited by other automatic applications. The extensive evaluation under different test scenarios proves that PASD consistently improves the quality of the separated signals, compared to other benchmark approaches.
Starting Page	214
Ending Page	222
Page Count	9
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 4, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0373
Journal	IET Signal Processing
Publisher Date	2020-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Processing Adaptive Thresholding Audio Signal Processing Blind Source Separation Challenging Acoustic Environments Concurrent Speech Final SubSpace Recovery Human-to-machine Communication Interpolation And Function Approximation Iterative Decomposition Iterative Method Low-rank SubSpace Minimisation Numerical Analysis Optimisation Technique Phase-aware Mask Phase-aware SubSpace Decomposition Phase-information Robotics SCSS System Separated Signal Separation Result Signal Processing And Detection Single Channel Speech Separation Smart Homes Source Separation Sparse Rank SubSpace Speech And Audio Signal Processing Speech Distortion Speech Enhancement Speech Processing Speech Processing Technique Speech Recognition Speech Recognition And Synthesis Speech Separation System Statistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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