Application of Wavelet LPC Excitation Model for Speech Compression

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. W...

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Bibliographic Details
Main Author: Armein Z. R. Langi
Format: Article
Language:English
Published: ITB Journal Publisher 2008-05-01
Series:ITB Journal of Engineering Science
Subjects:
Online Access:http://journal.itb.ac.id/download.php?file=B08064.pdf&id=328&up=9
Description
Summary: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 this approach, the compression yields a signal-to-noise ratio of at least 11 dB at rates of 5 kbit/s.
ISSN:1978-3051