Local Thresholding De-noise Speech Signal

被引：0
|
作者：
Luo, Haitao [1 ]
机构：
[1] Guangdong Univ Foreign Studies, Sch Informat, Guangzhou 510420, Guangdong, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013) | 2013年 / 8878卷
关键词：
Thresholding; De-noise; Wavelet packet; Speech Recognition; Algorithm;
D O I：
10.1117/12.2030633
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
De-noise speech signal if it is noisy. Construct a wavelet according to Daubechies' method, and derive a wavelet packet from the constructed scaling and wavelet functions. Decompose the noisy speech signal by wavelet packet. Develop algorithms to detect beginning and ending point of speech. Construct polynomial function for local thresholding. Apply different strategies to de-noise and compress the decomposed terminal nodes coefficients. Reconstruct the wavelet packet tree. Re-build audio file using reconstructed data and compare the effectiveness of different strategies.
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页数：4
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