A pole-zero adaptive algorithm for speech processing

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

Abstract

A pole-zero adaptive algorithm is presented for selective spectral matching. This algorithm is capable of forming highly selective spectral envelopes for accurate fitting of frequency components. This adaptive technique can be employed to reduce the data rate in transform coding of speech, by efficiently 'packing' magnitude and phase information on a spectral envelope. Pole-zero algorithms have been developed and employed in system identification, as well as in spectral matching. In this work, a frequency-selective adaptive process is proposed for the spectral matching of the harmonic frequency components of speech. This process is based on the equation-error adaptive model.

Original languageEnglish (US)
Title of host publicationConference Proceedings - Annual Phoenix Conference
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0818620307, 9780818620300
DOIs
StatePublished - 1990
EventProceedings - Ninth Annual International Phoenix Conference on Computers and Communications - Scottsdale, AZ, USA
Duration: Mar 21 1990Mar 23 1990

Publication series

NameConference Proceedings - Annual Phoenix Conference

Other

OtherProceedings - Ninth Annual International Phoenix Conference on Computers and Communications
CityScottsdale, AZ, USA
Period3/21/903/23/90

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Spanias, A. (1990). A pole-zero adaptive algorithm for speech processing. In Conference Proceedings - Annual Phoenix Conference (Conference Proceedings - Annual Phoenix Conference). Publ by IEEE. https://doi.org/10.1109/pccc.1990.101735