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
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;
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
DOI :
10.1109/ECS.2014.6892538