JOINT SINGLE-CHANNEL SPEECH SEPARATION AND SPEAKER IDENTIFICATION

被引：13

作者：

Mowlaee, P. ^{[1
]}

Saeidi, R. ^{[2
]}

Tan, Z. -H. ^{[1
]}

Christensen, M. G. ^{[3
]}

Franti, P. ^{[2
]}

Jensen, S. H. ^{[1
]}

机构：

[1] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark

[2] Univ Joensuu, Dept Comp Sci & Stat, Joensuu, Finland

[3] Aalborg Univ, Dept Media, Aalborg, Denmark

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

Single-channel speech separation; speaker identification; sinusoidal mixture estimator; vector quantization; Gaussian mixture model;

D O I：

10.1109/ICASSP.2010.5495619

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we propose a closed loop system to improve the performance of single-channel speech separation in a speaker independent scenario. The system is composed of two interconnected blocks: a separation block and a speaker identification block. The improvement is accomplished by incorporating the speaker identities found by the speaker identification block as additional information for the separation block, which converts the speaker-independent separation problem to a speaker-dependent one where the speaker codebooks are known. Simulation results show that the closed loop system enhances the quality of the separated output signals. To assess the improvements, the results are reported in terms of PESQ for both target and masked signals.

引用

页码：4430 / 4433

页数：4

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