Abstract:
Three robust algorithms based on the recently proposed concept of structured vector quantization have been developed for quantization of speech LSP (line spectrum pair) p...Show MoreMetadata
Abstract:
Three robust algorithms based on the recently proposed concept of structured vector quantization have been developed for quantization of speech LSP (line spectrum pair) parameters. The first algorithm exploits interframe correlation of the LSP parameters and requires 24 bits per LSP vector to achieve 1 dB average spectral distortion. The second and third algorithms quantize each LSP vector independently and for 1 dB distortion require 29 and 25 bits per vector, respectively. The last two algorithms result in a considerably smaller fraction of frames with distortions greater than 2 dB as compared to other schemes proposed so far.<>
Published in: [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing
Date of Conference: 14-17 April 1991
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-0003-3
Print ISSN: 1520-6149
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1.
F. Itakura and N. Sugamura, "LSP Speech Synthesizer Its Principle and Implementation", Trans. of the Committee on Speech Research, vol. S79-46, November 1979.
2.
N. Farvardin and R. Laroia, "Efficient Encoding of Speech LSP Parameters Using the Discrete Cosine Transformation", Proc. ICASSP, 1989-May.
3.
F. K. Soong and B. H. Juang, "Optimal Quantization of LSP Parameters Using Delayed Decisions", Proc. ICASSP, 1990-April.
4.
N. Phamdo and N. Farvardin, "Coding of Speech LSP Parameters Using TSVQ with Interblock Noiseless Coding", Proc. ICASSP, 1990-April.
5.
K. K. Paliwal and B. S. Atal, "Efficient Vector Quantization of LPC Parameters at 24 bits/frame", IEEE ICASSP-91.
6.
R. Laroia and N. Farvardin, "A Structured Fixed-Rate Vector Quantizer Derived from Variable-Length Encoded Scalar Quantizers", Τwenty-Fourth Annual Conference on Information Sciences and Systems, pp. 796-801, 1990-March.
7.
R. Laroia and N. Farvardin, "A Structured Fixed-Rate Vector Quantizer Derived from a Variable-Length Encoded Scalar Quantizer", IEEE Trans. Inform. Theory.
8.
R. Laroia, Design and Analysis of a Structured Fixed-Rate Vector Quantizer Derived from Variable Length Encoded Scalar Quantizers.