Speech compression using cosine packet decomposition
By: Joao Roberto Vasconcellos Martins
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1996
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Format: Electronic resource
Number of pages: 142
Description: 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.
Notes: Thesis advisor(s): M. Fargues, Ralph Hippenstiel.

"March 1996."

Thesis (M.S. in Electrical Engineering) Naval   Postgraduate School, March 1996.

Includes bibliographical references.

"Approved for public release, distribution unlimited"--Cover.

Also available online.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Brazilian Navy author.

dk/dk cc:9116 (11/9/96)