AN AUDITORY-DOMAIN BASED SPEECH ENHANCEMENT ALGORITHM

被引：1

作者：

Krishnamoorthi, Harish ^{[1
]}

Spanias, Andreas ^{[1
]}

Berisha, Visar ^{[1
]}

Kwon, Homin ^{[1
]}

Thornburg, Harvey ^{[1
]}

机构：

[1] Arizona State Univ, Sch Elect Comp & Energy Engn, SenSIP Ctr, Tempe, AZ 85287 USA

来源：

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

关键词：

speech enhancement; auditory representation; psychoacoustics; loudness; LOUDNESS;

D O I：

10.1109/ICASSP.2010.5495147

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Typically, speech enhancement algorithms minimize a suitable error criterion in the spectral or time domain. Although the error criterions have included perceptual properties such as masking thresholds, non-uniform frequency resolution and sensitivity of the auditory system, these are only done heuristically and the error criterion does not explicitly include an auditory model in their formulation. In this paper, we propose an auditory-domain based speech enhancement algorithm that minimizes the distortion between the auditory representation of the estimated and desired signal. Simulation results indicate that the proposed algorithm performs effectively under different noise conditions and also results in a lower average loudness error.

引用

页码：4786 / 4789

页数：4

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