DocumentCode :
228276
Title :
Wavelet based Speech Coding technique using median function thresholding
Author :
Sinha, A.K. ; Dutta, S.K. ; Dev, B. ; Jaydipta ; Ranjan, R. ; Kumari, R.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Silchar, India
fYear :
2014
fDate :
13-14 Feb. 2014
Firstpage :
1
Lastpage :
4
Abstract :
The development in the field of digital communication has led to drastic improvements in the way human speech is handled for transmission. Voice communication has become a booming field for a few decades. Speech compression is used to eliminate the redundancies present in the speech signal and is associated with its efficient transmission. Speech compression is achieved by using Speech Coding. Speech coding uses speech-specific parameter estimation utilising digital signal processing techniques on audio signals, to model the speech signal. The model obtained is combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.
Keywords :
audio signal processing; speech coding; wavelet transforms; audio signals; digital signal processing techniques; median function thresholding; speech compression; speech signal; speech specific parameter estimation; voice communication; wavelet based speech coding technique; Approximation methods; Discrete wavelet transforms; Speech coding; Vectors; Vocoders; DWT; Median Thresholding; Signal to noise ratio component; Speech coding; Wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
Type :
conf
DOI :
10.1109/ECS.2014.6892538
Filename :
6892538
Link To Document :
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