IEICE TRANSACTIONS on Fundamentals
Efficient Coding of the Short-Term Speech Spectrum with Two-Step Vector Quantization Methods
Summary :
Line Spectral Frequencies (LSFs) are often used as parameters to represent the vocal tract filter in speech coders using linear prediction. We propose two new methods for the quantization of the LSPs, namely Combined Scalar-Vector Quantization (CSVQ) and Fine-Coarse Split Vector Quantization (FCSVQ). Both of these methods are based on a two-step vector quantization scheme. The paper explains the principles of these methods, including training of the associated codebooks. It is shown that they can be implemented efficiently with negligible computational overhead compared to simple scalar quantization. Satisfactory performance of the new methods is verified through experimental tests using computer simulation.
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- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.9 pp.1178-1185
- Publication Date
- 1995/09/25
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- Special Section PAPER (Special Section on Information Theory and Its Applications)
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Hamid Reza SADEGH MOHAMMADI, Warwick Harvey HOLMES, "Efficient Coding of the Short-Term Speech Spectrum with Two-Step Vector Quantization Methods" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 9, pp. 1178-1185, September 1995, doi: .
Abstract: Line Spectral Frequencies (LSFs) are often used as parameters to represent the vocal tract filter in speech coders using linear prediction. We propose two new methods for the quantization of the LSPs, namely Combined Scalar-Vector Quantization (CSVQ) and Fine-Coarse Split Vector Quantization (FCSVQ). Both of these methods are based on a two-step vector quantization scheme. The paper explains the principles of these methods, including training of the associated codebooks. It is shown that they can be implemented efficiently with negligible computational overhead compared to simple scalar quantization. Satisfactory performance of the new methods is verified through experimental tests using computer simulation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_9_1178/_p
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@ARTICLE{e78-a_9_1178,
author={Hamid Reza SADEGH MOHAMMADI, Warwick Harvey HOLMES, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Efficient Coding of the Short-Term Speech Spectrum with Two-Step Vector Quantization Methods},
year={1995},
volume={E78-A},
number={9},
pages={1178-1185},
abstract={Line Spectral Frequencies (LSFs) are often used as parameters to represent the vocal tract filter in speech coders using linear prediction. We propose two new methods for the quantization of the LSPs, namely Combined Scalar-Vector Quantization (CSVQ) and Fine-Coarse Split Vector Quantization (FCSVQ). Both of these methods are based on a two-step vector quantization scheme. The paper explains the principles of these methods, including training of the associated codebooks. It is shown that they can be implemented efficiently with negligible computational overhead compared to simple scalar quantization. Satisfactory performance of the new methods is verified through experimental tests using computer simulation.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Efficient Coding of the Short-Term Speech Spectrum with Two-Step Vector Quantization Methods
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1178
EP - 1185
AU - Hamid Reza SADEGH MOHAMMADI
AU - Warwick Harvey HOLMES
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1995
AB - Line Spectral Frequencies (LSFs) are often used as parameters to represent the vocal tract filter in speech coders using linear prediction. We propose two new methods for the quantization of the LSPs, namely Combined Scalar-Vector Quantization (CSVQ) and Fine-Coarse Split Vector Quantization (FCSVQ). Both of these methods are based on a two-step vector quantization scheme. The paper explains the principles of these methods, including training of the associated codebooks. It is shown that they can be implemented efficiently with negligible computational overhead compared to simple scalar quantization. Satisfactory performance of the new methods is verified through experimental tests using computer simulation.
ER -
English
