All-pole model parameter estimation for voiced speech

Manohar Murthi, Bhaskar D. Rao

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

8 Scopus citations

Abstract

To overcome the limitations of Linear Prediction based all-pole models of voiced speech, we present some new methods for obtaining the parameters of all-pole filters. In particular, we present a technique based on the Minimum Variance Distortionless Response (MVDR) spectrum estimation method. With a sufficient filter order, MVDR filters model voiced speech formants exactly. Utilizing a property of MVDR all-pole filters, we present a technique for obtaining low order perceptually weighted all-pole filters. These new all-pole models provide superior modeling of medium pitch and high pitch voiced speech.

Original languageEnglish
Title of host publicationIEEE Workshop on Speech Coding for Telecommunications Proceedings
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages17-18
Number of pages2
StatePublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications - Pocono Manor, PA, USA
Duration: Sep 7 1997Sep 10 1997

Other

OtherProceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications
CityPocono Manor, PA, USA
Period9/7/979/10/97

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'All-pole model parameter estimation for voiced speech'. Together they form a unique fingerprint.

Cite this