A perceptual masking approach for noise robust speech recognition

被引：8
|
作者：
Maganti, Hari Krishna [1 ]
Matassoni, Marco [1 ]
机构：
[1] Fdn Bruno Kessler CIT Irst, I-38123 Trento, Italy
来源：
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING | 2012年
关键词：
ENHANCEMENT;
D O I：
10.1186/1687-4722-2012-29
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This article describes a modified technique for enhancing noisy speech to improve automatic speech recognition (ASR) performance. The proposed approach improves the widely used spectral subtraction which inherently suffers from the associated musical noise effects. Through a psychoacoustic masking and critical band variance normalization technique, the artifacts produced by spectral subtraction are minimized for improving the ASR accuracy. The popular advanced ETSI-2 front end is tested for comparison purposes. The performed speech recognition evaluations on the noisy standard AURORA-2 tasks show enhanced performance for all noise conditions.
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页数：9
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