DocumentCode :
2998181
Title :
Encoding of LPC spectral parameters using switched-adaptive interframe vector prediction [speech coding]
Author :
Yong, Mei ; Davidson, Grant ; Gersho, Allen
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
402
Abstract :
An efficient, low-complexity method called switched-adaptive interframe vector prediction (SIVP) has been developed for linear predictive coding (LPC) of spectral parameters in the development of low-bit-rate speech coding systems. SIVP utilizes vector linear prediction to exploit the high frame-to-frame redundancy present in the successive frames of LPC parameters. When SIVP is combined with scalar quantization, it has been found that the LPC parameter bit rate required to achieve high-quality synthetic speech is only 1300 b/s. With vector quantization, the bit-rate can be reduced even further (to 1000 b/s) without introducing any perceivable quantization noise in the reconstructed speech
Keywords :
encoding; filtering and prediction theory; speech analysis and processing; 1300 bit/s; LPC parameters; encoding; frame-to-frame redundancy; high-quality synthetic speech; linear predictive coding; scalar quantization; spectral parameters; speech coding; switched-adaptive interframe vector prediction; vector linear prediction; vector quantization; Encoding; Laboratories; Linear predictive coding; Propulsion; Prototypes; Quantization; Satellite broadcasting; Speech coding; Speech processing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196602
Filename :
196602
Link To Document :
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