DocumentCode
2022789
Title
An 8-bit/s speech coder based on conjugate structure CELP
Author
Kataoka, Akitoshi ; Moriya, Takehiro ; Hayashi, Shinji
Author_Institution
NTT Human Interface Lab., Musashino-Shi, Tokyo, Japan
Volume
2
fYear
1993
fDate
27-30 April 1993
Firstpage
592
Abstract
A high-quality 8-bit/s speech coder based on CS:CELP (conjugate structure code excited linear prediction) with 10 ms frame length is presented. To provide high quality in both error-free and error conditions, it uses four schemes: LSP (line spectrum pair) quantization using interframe correlation, preselection of codebook search, a conjugate structure, and backward adaptation of the VQ (vector quantization) gain. LSP parameters are quantized by multistage VQ with MA prediction. The preselection of the codebook reduces computational complexity and improves robustness. The CS improves the ability to handle random bit errors and reduces memory requirements. The backward adaptation of the VQ gain provides high quality and robustness without having to transmit input speech power information. Subjective testing indicates that the quality of the proposed coder is equivalent to that of the 32 kbit/s ADPCM (adaptive differential pulse code modulation) under error-free conditions. It is also found that the proposed coder is robust against random bit errors.<>
Keywords
coding errors; computational complexity; correlation methods; error handling; linear predictive coding; speech coding; vector quantisation; vocoders; 8 kbit/s; backward adaptation; code excited linear prediction; computational complexity; conjugate structure CELP; interframe correlation; line spectrum pair quantization; memory requirements; random bit errors; robustness; speech coder; vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319379
Filename
319379
Link To Document