Speech compression using cosine packet decomposition
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Authors
Martins, Joao Roberto Vasconcellos
Subjects
Cosine Packets
Wavelet Packets
Speech Compression
Speech Coding
Wavelet Packets
Speech Compression
Speech Coding
Advisors
Fargues, Monique
Hippenstiel, Ralph
Date of Issue
1996-03
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
As digitization of data becomes more prevalent, the demands on existing communications networks and computer systems to cope with this increase in data become overwhelming. Currently, the speech compression problem is handled using the CELP( Code Excited Linear Prediction) scheme and its derivatives. Such techniques are the most frequently used for speech compression at medium-to-low rate ranges. Recent research conducted into the area of cosine packets has proven this field to be readily adaptable to speech compression and coding. In this thesis, speech compression schemes are developed using cosine- packet decomposition, minimum entropy basis selection, and an adaptive thresholding scheme for selecting coefficients. In addition, voiced-unvoiced segmentation and a denoising scheme were implemented. Test results showed high compression ratios (1:50) with a good quality of reconstructed speech
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
142 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.