An Efficient Coding for LSP Parameters Using Fuzzy Reasoning

Shuuichi ARAI; Shinji OZAWA

An Efficient Coding for LSP Parameters Using Fuzzy Reasoning

Shuuichi ARAI, Shinji OZAWA

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The information compression by LSP analysis-synthesis is a promising method in the sense that the speech with relatively high quality can be synthesized with small amount of codes. Up to present, coding of LSP parameters have been investigated from various viewpoint. It rarely happens that the speech information changes rapidly with time. And, there exists a correlation between two time-series of LSP which are adjacent on the frequency-axis. We have already proposed the coding method which is considered these two features of LSP parameters. However, there still exists redundancy which is lying on the sorrounding LSP parameters. This paper proposes a new LSP coding method which employs the fuzzy reasoning. Using the fuzzy reasoning, it becomes possible that the useful information lying on the surrounding LSP parameters influence the new coding method. Applying the proposed method, the coding experiment and the quality evaluation of the synthetic speeches were performed by comparing our previous method on condition that analysis order is 10. Experiments confirmed two principal results. First, number of transmitting bits which is required to suppress the spectral envelope distortion to 1 dB or less, decreases to 20.8 to 34.7 bit per frame. Second, this coding method needs about 2.8 kbit/sec for transmitting the vocal tract information to suppress the spectral envelope distortion including the time distortion to 1 dB.

Publication: IEICE TRANSACTIONS on transactions Vol.E72-E No.4 pp.354-362

Publication Date: 1989/04/25

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Type of Manuscript: PAPER

Category: Speech

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Shuuichi ARAI
Shinji OZAWA

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Shuuichi ARAI, Shinji OZAWA, "An Efficient Coding for LSP Parameters Using Fuzzy Reasoning" in IEICE TRANSACTIONS on transactions, vol. E72-E, no. 4, pp. 354-362, April 1989, doi: .
Abstract: The information compression by LSP analysis-synthesis is a promising method in the sense that the speech with relatively high quality can be synthesized with small amount of codes. Up to present, coding of LSP parameters have been investigated from various viewpoint. It rarely happens that the speech information changes rapidly with time. And, there exists a correlation between two time-series of LSP which are adjacent on the frequency-axis. We have already proposed the coding method which is considered these two features of LSP parameters. However, there still exists redundancy which is lying on the sorrounding LSP parameters. This paper proposes a new LSP coding method which employs the fuzzy reasoning. Using the fuzzy reasoning, it becomes possible that the useful information lying on the surrounding LSP parameters influence the new coding method. Applying the proposed method, the coding experiment and the quality evaluation of the synthetic speeches were performed by comparing our previous method on condition that analysis order is 10. Experiments confirmed two principal results. First, number of transmitting bits which is required to suppress the spectral envelope distortion to 1 dB or less, decreases to 20.8 to 34.7 bit per frame. Second, this coding method needs about 2.8 kbit/sec for transmitting the vocal tract information to suppress the spectral envelope distortion including the time distortion to 1 dB.
URL: https://globals.ieice.org/en_transactions/transactions/10.1587/e72-e_4_354/_p

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@ARTICLE{e72-e_4_354,
author={Shuuichi ARAI, Shinji OZAWA, },
journal={IEICE TRANSACTIONS on transactions},
title={An Efficient Coding for LSP Parameters Using Fuzzy Reasoning},
year={1989},
volume={E72-E},
number={4},
pages={354-362},
abstract={The information compression by LSP analysis-synthesis is a promising method in the sense that the speech with relatively high quality can be synthesized with small amount of codes. Up to present, coding of LSP parameters have been investigated from various viewpoint. It rarely happens that the speech information changes rapidly with time. And, there exists a correlation between two time-series of LSP which are adjacent on the frequency-axis. We have already proposed the coding method which is considered these two features of LSP parameters. However, there still exists redundancy which is lying on the sorrounding LSP parameters. This paper proposes a new LSP coding method which employs the fuzzy reasoning. Using the fuzzy reasoning, it becomes possible that the useful information lying on the surrounding LSP parameters influence the new coding method. Applying the proposed method, the coding experiment and the quality evaluation of the synthetic speeches were performed by comparing our previous method on condition that analysis order is 10. Experiments confirmed two principal results. First, number of transmitting bits which is required to suppress the spectral envelope distortion to 1 dB or less, decreases to 20.8 to 34.7 bit per frame. Second, this coding method needs about 2.8 kbit/sec for transmitting the vocal tract information to suppress the spectral envelope distortion including the time distortion to 1 dB.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - An Efficient Coding for LSP Parameters Using Fuzzy Reasoning
T2 - IEICE TRANSACTIONS on transactions
SP - 354
EP - 362
AU - Shuuichi ARAI
AU - Shinji OZAWA
PY - 1989
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E72-E
IS - 4
JA - IEICE TRANSACTIONS on transactions
Y1 - April 1989
AB - The information compression by LSP analysis-synthesis is a promising method in the sense that the speech with relatively high quality can be synthesized with small amount of codes. Up to present, coding of LSP parameters have been investigated from various viewpoint. It rarely happens that the speech information changes rapidly with time. And, there exists a correlation between two time-series of LSP which are adjacent on the frequency-axis. We have already proposed the coding method which is considered these two features of LSP parameters. However, there still exists redundancy which is lying on the sorrounding LSP parameters. This paper proposes a new LSP coding method which employs the fuzzy reasoning. Using the fuzzy reasoning, it becomes possible that the useful information lying on the surrounding LSP parameters influence the new coding method. Applying the proposed method, the coding experiment and the quality evaluation of the synthetic speeches were performed by comparing our previous method on condition that analysis order is 10. Experiments confirmed two principal results. First, number of transmitting bits which is required to suppress the spectral envelope distortion to 1 dB or less, decreases to 20.8 to 34.7 bit per frame. Second, this coding method needs about 2.8 kbit/sec for transmitting the vocal tract information to suppress the spectral envelope distortion including the time distortion to 1 dB.
ER -