Vector quantization of principal spectral components for speech coding at 4800 BPS

Philipos C. Loizou, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Results are presented from a study on the vector quantization of spectral components. Three types of transform-based speech representation are examined, namely, a least-squares representation, a subband representation, and a pitch-harmonic representation. The spectral components associated with these representations are encoded using vector quantization techniques. The results of all the coding schemes are evaluated using signal-to-noise ratios and informal listening tests.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
PublisherPubl by Maple Press, Inc
Pages654-658
Number of pages5
Volume2
StatePublished - 1991
Event24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2) - Pacific Grove, CA, USA
Duration: Nov 5 1990Nov 7 1990

Other

Other24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2)
CityPacific Grove, CA, USA
Period11/5/9011/7/90

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Vector quantization of principal spectral components for speech coding at 4800 BPS'. Together they form a unique fingerprint.

  • Cite this

    Loizou, P. C., & Spanias, A. (1991). Vector quantization of principal spectral components for speech coding at 4800 BPS. In Conference Record - Asilomar Conference on Circuits, Systems & Computers (Vol. 2, pp. 654-658). Publ by Maple Press, Inc.