STFT-Based Speech Enhancement by Reconstructing the Harmonics

被引：0
|
作者：
Abolhassani, Iman Haji [1 ]
Selouani, Sid-Ahmed [2 ]
O'Shaughnessy, Douglas [1 ]
机构：
[1] INRS Energie Mat Telecommun, Montreal, PQ, Canada
[2] Univ Moncton, Moncton, NB, Canada
来源：
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年
关键词：
speech enhancement; speech recognition; speech magnitude spectrum enhancement;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel Short Time Fourier Transform (STET) based speech enhancement method is introduced. This method enhances the magnitude spectrum of a noisy speech segment. The new idea that is used in this method is to basically reconstruct the harmonics at the multiples of the fundamental frequency (F-0) rather than trying to improve them. The harmonics are produced, in the magnitude spectrum, using the knowledge of the window function we are using for the STET. These harmonics are then scaled and laid on multiples off. Experimental results prove the effectiveness of this enhancement method in various noisy conditions and various SNR ratios.
引用
收藏
页码：1355 / +
页数：2
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