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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    A VECTOR QUANTIZATION OF THE SPEECH SIGNAL BY A NEW ROBUST ALGORITHM FOR ITS COMPRESSION
    Abdelghani Rouini1, Messaouda Larbi1
    Journal of Data Acquisition and Processing, 2023, 38 (4): 1707-1719 . 

    Abstract

    Abstract: Our study consists in conceiving a compression of system of the speech signal by the vector quantization. The speech signal is analyzed by the method of Prediction Linear LPC which allows to converter this signal in acoustic vectors. Our system functions in two phases; the phase of training and the phase of coding. In the first phase, a dictionary of prototype vectors is generated by new robust algorithm. During the phase of coding, the speech signal undergoes the same acoustic treatment. Each acoustic vector is quantified and coded by the index of the prototype vector nearest to the vector of entry within the meaning of metric selected. Then, a binary code is attributed to each index. Thus, our system transforms the speech signal into a sequence of index and strongly contributes to its compression.

    Keyword

    Prediction linear LPC. A dictionary of prototype. Speech signal.


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ISSN 1004-9037

         

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