Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis with Fast Demixing Matrix Estimation

Real-time speech extraction is a valuable task and has diverse applications, such as speech recognition in a human-like avatar/robot and hearing aids. In this paper, we propose the real-time extension of a speech extraction method based on independent low-rank matrix analysis (ILRMA) and rank-constr...

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Vydané v:	IEEE access Ročník 13; s. 1
Hlavní autori:	Ishikawa, Yuto, Nakamura, Tomohiko, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Takahashi, Yu, Kondo, Kazunobu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Avatars Computing time Constraints Covariance matrices Covariance matrix Data mining Demixing Effectiveness Estimation Hearing aids Independent low-rank matrix analysis Matrix methods Noise Numerical stability Parameter estimation Performance evaluation rank-constrained spatial covariance matrix estimation Real time real-time speech extraction Real-time systems Regularization Robustness spatial regularization Speech Speech processing Speech recognition
ISSN:	2169-3536, 2169-3536
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Abstract	Real-time speech extraction is a valuable task and has diverse applications, such as speech recognition in a human-like avatar/robot and hearing aids. In this paper, we propose the real-time extension of a speech extraction method based on independent low-rank matrix analysis (ILRMA) and rank-constrained spatial covariance matrix estimation (RCSCME). It has been reported that, in an offline scenario, the RCSCME-based method (a multichannel blind speech extraction method based on ILRMA and RCSCME) experimentally achieved superior speech extraction performance under diffuse noise conditions. Here, we focus on the facts that the ILRMA output required in RCSCME is only the time-invariant demixing matrix and the entire process of the RCSCME-based method can be divided into two parts: the ILRMA and RCSCME parts. Thus, to perform the RCSCME-based method in real time, we introduce the blockwise batch algorithm into the RCSCME-based method by performing the ILRMA and RCSCME parts in parallel. To improve the real-time speech extraction performance, we introduce a spatial regularization into the ILRMA part and devise two regularizers. For further acceleration and numerical stabilization, we derive new algorithms for vectorwise coordinate descent (VCD) and iterative projection (IP). These algorithms are analytically equivalent to conventional ones. In experiments, we first confirm the effectiveness of the proposed VCD algorithm in terms of both computational time and numerical stability. Next, we show that the proposed real-time framework with the proposed VCD/IP algorithms achieves superior speech extraction performance compared with conventional methods and can function in real time on low computational resources. Finally, we also demonstrate the effectiveness of the designed regularizers in terms of speech extraction performance and the robustness of the proposed methods to errors in the prior information.
AbstractList	Real-time speech extraction is a valuable task and has diverse applications, such as speech recognition in a human-like avatar/robot and hearing aids. In this paper, we propose the real-time extension of a speech extraction method based on independent low-rank matrix analysis (ILRMA) and rank-constrained spatial covariance matrix estimation (RCSCME). It has been reported that, in an offline scenario, the RCSCME-based method (a multichannel blind speech extraction method based on ILRMA and RCSCME) experimentally achieved superior speech extraction performance under diffuse noise conditions. Here, we focus on the facts that the ILRMA output required in RCSCME is only the time-invariant demixing matrix and the entire process of the RCSCME-based method can be divided into two parts: the ILRMA and RCSCME parts. Thus, to perform the RCSCME-based method in real time, we introduce the blockwise batch algorithm into the RCSCME-based method by performing the ILRMA and RCSCME parts in parallel. To improve the real-time speech extraction performance, we introduce a spatial regularization into the ILRMA part and devise two regularizers. For further acceleration and numerical stabilization, we derive new algorithms for vectorwise coordinate descent (VCD) and iterative projection (IP). These algorithms are analytically equivalent to conventional ones. In experiments, we first confirm the effectiveness of the proposed VCD algorithm in terms of both computational time and numerical stability. Next, we show that the proposed real-time framework with the proposed VCD/IP algorithms achieves superior speech extraction performance compared with conventional methods and can function in real time on low computational resources. Finally, we also demonstrate the effectiveness of the designed regularizers in terms of speech extraction performance and the robustness of the proposed methods to errors in the prior information.
Author	Takahashi, Yu Saruwatari, Hiroshi Nakamura, Tomohiko Takamune, Norihiro Kitamura, Daichi Ishikawa, Yuto Kondo, Kazunobu
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References	Mukai (ref12) 2004; 87 ref13 Lomont (ref27) 2003; 32 ref15 ref11 ref10 Fujihara (ref14) ref2 ref1 ref17 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref29 ref8 ref7 ref9 ref4 ref3 ref6 ref5
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SubjectTerms	Algorithms Avatars Computing time Constraints Covariance matrices Covariance matrix Data mining Demixing Effectiveness Estimation Hearing aids Independent low-rank matrix analysis Matrix methods Noise Numerical stability Parameter estimation Performance evaluation rank-constrained spatial covariance matrix estimation Real time real-time speech extraction Real-time systems Regularization Robustness spatial regularization Speech Speech processing Speech recognition
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Title	Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis with Fast Demixing Matrix Estimation
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