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  1. University of Computer Studies, Yangon
  2. Conferences

An Approach for Noise-Speech Discrimination Using Wavelet Domain

http://hdl.handle.net/20.500.12678/0000004958
1b270d35-67a3-4bac-8dc0-81df56b7a2b8
af087564-5562-4dd1-a627-65bdc81e6613
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11094.pdf 11094.pdf (320 Kb)
Publication type Article
Upload type Publication
Title
An Approach for Noise-Speech Discrimination Using Wavelet Domain
en
Publication date 2013-02-26
Authors
Tun, Tayar Myo
Description
There are many sudden and short period noises in natural envrioments. In this paper, noise reduction is efficiently performed for additive white noise and an automatic thresholding method for discriminating of noise / speech. This modified version of the thresholding method updates the threshold in each frame. In this proposed method, the selection of the threshold value depends on the estimates of the standard deviation and gives it as the input to the super-soft thresholding algorithm. Voice activity detection methods usually work in time or frequency domains. We propose super soft thresholding algorithm based on subband voice activity detection. If clean speech data can be input, it will help prevent system operations errors. These proposed methods are applied in a real-time noise reduction.
Keywords
Wavelet Transform
Keywords
Noise
Keywords
Continuous Wavelet Transform
Keywords
Thresholding algorithm
Keywords
Threshold value
Keywords
Power estimator
Keywords
Voice Activity Detection
Keywords
Subband
Journal articles
Eleventh International Conference On Computer Applications (ICCA 2013)
Conference papers
Books/reports/chapters
Thesis/dissertations
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