Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution

In this article, we propose a new blind speech extraction (BSE) method that robustly extracts a directional speech from background diffuse noise by combining independent low-rank matrix analysis (ILRMA) and efficient rank-constrained spatial covariance matrix (SCM) estimation. To achieve more accura...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing Jg. 28; S. 1948 - 1963
Hauptverfasser:	Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Background noise Blind speech extraction Computational modeling Computer simulation Covariance matrices Covariance matrix diffuse noise Estimation Gaussian distribution Mathematical models Matrix methods Methods Multivariate analysis multivariate complex generalized Gaussian distribution Normal distribution Optimization Parameter estimation Signal processing spatial covariance matrix Speech processing Speech recognition Statistical analysis
ISSN:	2329-9290, 2329-9304
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!