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Proceedings Paper

Local thresholding de-noise speech signal
Author(s): Haitao Luo
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Paper Abstract

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.

Paper Details

Date Published: 19 July 2013
PDF: 4 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780E (19 July 2013); doi: 10.1117/12.2030633
Show Author Affiliations
Haitao Luo, Guangdong Univ. of Foreign Studies (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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