DocumentCode
147200
Title
Tamil speech enhancement using non-linear spectral subtraction
Author
Prabhakaran, G. ; Indra, J. ; Kasthuri, N.
Author_Institution
Control &Instrum., Kongu Eng. Coll., Perundurai, India
fYear
2014
fDate
3-5 April 2014
Firstpage
1482
Lastpage
1485
Abstract
Speech enhancement is a technique used to reduce the background noise present in the speech signal. It simply means the improvement in intelligibility and quality of degraded speech. The noises present in the speech signal are additive noise, echo, reverbration and speaker interference. The aim of the proposed method is to reduce the background noise present in the speech signal by using spectral subtraction techniques. The magnitude of the spectrum of estimated noise is subtracted from the spectrum of noisy speech signal. Five clean speeches are taken as sample speech. Sample noise such as pink noise, white noise and volvo noise are taken from database (TIMIT & NOIZEUS corpus). By using Non-linear spectral subtraction and Multiband spectral subtraction techniques, enhanced speech is obtained. Performance of the above two methods are compared based on the two parameters namely Signal to Noise Ratio and Log Spectral Distance.
Keywords
echo suppression; speech enhancement; speech intelligibility; white noise; NOIZEUS corpus database; TIMITdatabase; Tamil speech enhancement; additive noise; background noise; log spectral distance; multiband spectral subtraction techniques; noisy speech signal; nonlinear spectral subtraction; pink noise; signal-to-noise ratio; speaker interference; volvo noise; white noise; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Multiband Spectral Subtraction (MBSS); Nonlinear Spectral Subtraction (NSS); Spectral Subtraction techniques (SS);
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6950095
Filename
6950095
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