Regularized linear prediction all-pole models

M. N. Murthi, W. B. Kleijn

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

13 Scopus citations


For many cases of voiced speech, linear prediction (LP) based all-pole spectral envelopes exhibit unnatural vocal tract transfer functions that underestimate the formant bandwidths. To obtain smoother contoured all-pole spectral envelopes, we employ a regularization measure which discourages nonsmooth behavior of the transfer function. In particular, we demonstrate how a simple regularization scheme can be incorporated into the LP framework without the need for iterative numerical optimization or spectral sampling. Our results indicate that regularized LP all-pole models can provide more accurate vocal tract transfer function modeling than conventional LP, particularly at the formants.

Original languageEnglish (US)
Title of host publication2000 IEEE Workshop on Speech Coding - Proceedings
Subtitle of host publicationMeeting the Challenges of the New Millennium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)0780364163, 9780780364165
StatePublished - Jan 1 2000
Externally publishedYes
EventIEEE Workshop on Speech Coding - Delavan, United States
Duration: Sep 17 2000Sep 20 2000

Publication series

Name2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium


OtherIEEE Workshop on Speech Coding
Country/TerritoryUnited States


  • Bandwidth
  • Cost function
  • Frequency estimation
  • Parameter estimation
  • Power harmonic filters
  • Predictive models
  • Signal synthesis
  • Speech coding
  • Speech synthesis
  • Transfer functions

ASJC Scopus subject areas

  • Signal Processing
  • Software


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