Performance Evaluation of a Speech Enhancement Technique Using Wavelets

被引：1
|
作者：
Dhivya, R. [1 ]
Justin, Judith [1 ]
机构：
[1] Avinashilingam Inst Home Sci & Higher Educ Women, Dept Biomed Instrumentat Engn, Fac Engn, Coimbatore, Tamil Nadu, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING SYSTEMS, ICSCS 2015, VOL 1 | 2016年 / 397卷
关键词：
Speech enhancement; Wavelet thresholding; Pearson's correlation; Speech quality measures;
D O I：
10.1007/978-81-322-2671-0_61
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work, a novel speech enhancement algorithm is proposed based on multiband spectral subtraction speech enhancement technique and wavelet thresholding. The algorithmis tested with noisy speech signal produced by a prosthetic device for laryngectomy patients. The performance of the proposed algorithm is compared with themultiband spectral subtraction algorithmin terms of perceptual evaluation of speech quality (PESQ). The objective measures such as signal-to-noise-ratio (SNR), log-likelihood ratio (LLR), segmental signal-to-noise-ratio (SegSNR), weighted spectral slope (WSS), itakura-saito distance (IS), CepstralDistance, and frequency-weighted segmental signal-to-noise-ratio (fwSNR) are used to test the effectiveness of the algorithm.
引用
收藏
页码：637 / 646
页数：10
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