DocumentCode :
336809
Title :
Harmonic+noise coding using improved V/UV mixing and efficient spectral quantization
Author :
Yu, Eric W M ; Chan, Cheung-Fat
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
1
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
477
Abstract :
This paper presents a harmonic+noise speech coder which uses an efficient spectral quantization technique and a novel voiced/unvoiced (V/UV) mixing model. The harmonic magnitudes are coded at 23 bits/frame using the magnitude response of a linear predictive coding (LPC) system. The difference between the harmonic magnitudes and the sampled magnitude response is minimized by the closed-loop approach. The V/UV mixing is modeled by a smooth function which is derived from the speech spectrum envelope based on the flatness measure. The V/UV mixing model allows noise to be added in the harmonic portion of speech spectrum so that buzzyness is reduced. The V/UV mixing information is determined from the spectral parameters available in the decoder, no bits are needed for transmitting the V/UV information. A 1.4 kbps harmonic coder is developed. The speech quality of the coder is comparable to other harmonic coders operating at higher rates
Keywords :
harmonic analysis; linear predictive coding; noise; quantisation (signal); spectral analysis; speech coding; speech intelligibility; vocoders; 1.4 kbit/s; LPC system; V/UV mixing; closed-loop approach; decoder; efficient spectral quantization; flatness measure; harmonic coders; harmonic coding; harmonic magnitudes; harmonic+noise speech coder; linear predictive coding; magnitude response; sampled magnitude response; smooth function; spectral parameters; speech coding; speech quality; speech spectrum; speech spectrum envelope; voiced/unvoiced mixing model; Decoding; Electronic mail; Frequency; Linear predictive coding; Noise reduction; Power harmonic filters; Quantization; Speech analysis; Speech coding; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758166
Filename :
758166
Link To Document :
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