Application of Wavelet LPC Excitation Model for Speech Compression | Zendy

Armein Z. R. Langi | Zendy

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Application of Wavelet LPC Excitation Model for Speech Compression

Author(s) -

Armein Z. R. Langi

Publication year - 2008

Publication title -

itb journal of engineering science

Language(s) - English

Resource type - Journals

ISSN - 1978-3051

DOI - 10.5614/itbj.eng.sci.2008.40.1.1

Subject(s) - speech recognition , wavelet , compression (physics) , computer science , acoustics , artificial intelligence , physics , thermodynamics

This paper presents an application of linear predictive coding (LPC) excitation wavelet models for low bit- rate, high-quality speech compression. The compression scheme exploits the model properties, especially magnitude dependent sensitivity, scale dependent sensitivity, and limited frame length. We use the wavelet model in an open-loop dither based codebook scheme. With t his approach, the compression yields a signal-to-noise ratio of at least 11 dB at rates of 5 kbit/s and.

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