DocumentCode
1599171
Title
Speech Compression with Best Wavelet Packet Transform and SPIHT Algorithm
Author
Zhao Dan ; Ma Shengqian
Author_Institution
Coll. of Phys. & Electron. Eng., Northwest Normal Univ., Lanzhou, China
Volume
1
fYear
2010
Firstpage
360
Lastpage
363
Abstract
This paper proposes a new coding algorithm of speech compressing, which is based on best wavelet packet transform and SPIHT coding algorithm. The new approach applies the wavelet packet transform to process speech signal to obtain optimal wavelet tree to allocate the dynamic bits, and then uses the modified SPIHT coding algorithm to compress the coefficients from the wavelet packet transform. The entropy coding is also used to increase the compression ratio. The experiments indicate that the new approach can gain better quality signal reconstruction at high compression ratios and have a low-complexity and low-delay.
Keywords
data compression; entropy codes; set theory; signal reconstruction; speech coding; tree codes; wavelet transforms; entropy coding; set partitioning in hierarchical tree coding algorithm; signal reconstruction; speech compression; speech signal processing; wavelet packet transform; Auditory system; Bandwidth; Frequency domain analysis; Humans; Image coding; Speech coding; Speech processing; Wavelet analysis; Wavelet packets; Wavelet transforms; SPIHT algorithm; best wavelet packet transform; compression coding; speech signal;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4244-5642-0
Electronic_ISBN
978-1-4244-5643-7
Type
conf
DOI
10.1109/ICCMS.2010.68
Filename
5421370
Link To Document