Regularized linear prediction all-pole models

Manohar Murthi, W. B. Kleijn

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

13 Citations (Scopus)

Abstract

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: Meeting the Challenges of the New Millennium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-98
Number of pages3
ISBN (Print)0780364163, 9780780364165
DOIs
StatePublished - 2000
Externally publishedYes
EventIEEE Workshop on Speech Coding - Delavan, United States
Duration: Sep 17 2000Sep 20 2000

Other

OtherIEEE Workshop on Speech Coding
CountryUnited States
CityDelavan
Period9/17/009/20/00

Fingerprint

Poles
Transfer functions
Sampling
Bandwidth

Keywords

  • 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

Cite this

Murthi, M., & Kleijn, W. B. (2000). Regularized linear prediction all-pole models. In 2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium (pp. 96-98). [878410] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCFT.2000.878410

Regularized linear prediction all-pole models. / Murthi, Manohar; Kleijn, W. B.

2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2000. p. 96-98 878410.

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

Murthi, M & Kleijn, WB 2000, Regularized linear prediction all-pole models. in 2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium., 878410, Institute of Electrical and Electronics Engineers Inc., pp. 96-98, IEEE Workshop on Speech Coding, Delavan, United States, 9/17/00. https://doi.org/10.1109/SCFT.2000.878410
Murthi M, Kleijn WB. Regularized linear prediction all-pole models. In 2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium. Institute of Electrical and Electronics Engineers Inc. 2000. p. 96-98. 878410 https://doi.org/10.1109/SCFT.2000.878410
Murthi, Manohar ; Kleijn, W. B. / Regularized linear prediction all-pole models. 2000 IEEE Workshop on Speech Coding - Proceedings: Meeting the Challenges of the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2000. pp. 96-98
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