MVDR based all-pole models for spectral coding of speech

Manohar Murthi, Bhaskar D. Rao

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

We present several analytical properties of Minimum Variance Distortionless Response (MVDR) based all-pole models that demonstrate the advantages and usefulness of these models for speech spectral coding. In particular, we show that a sufficient order MVDR all-pole model provides a spectral envelope that fits a set of spectral samples exactly with a parameterization convenient for quantization purposes. In addition, we show that MVDR all-pole filters provide a monotonically decreasing spectral distortion with increasing filter order. Furthermore, we show that the MVDR all-pole filter possesses the flexibility to be obtained from correlations based upon either spectral samples or conventional time-domain correlations. Finally, exploiting the insight gained from MVDR modeling, we introduce a novel class of constrained all-pole models for efficient spectral coding. In this approach, a subset of the Line Spectral Frequency (LSF) parameters associated with the all-pole model are judiciously fixed, leading to a simpler model parameterization.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages669-672
Number of pages4
Volume2
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

Other

OtherProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99)
CityPhoenix, AZ, USA
Period3/15/993/19/99

Fingerprint

Poles
coding
poles
Parameterization
parameterization
filters
set theory
line spectra
flexibility
envelopes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Murthi, M., & Rao, B. D. (1999). MVDR based all-pole models for spectral coding of speech. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2, pp. 669-672). IEEE.

MVDR based all-pole models for spectral coding of speech. / Murthi, Manohar; Rao, Bhaskar D.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2 IEEE, 1999. p. 669-672.

Research output: Chapter in Book/Report/Conference proceedingChapter

Murthi, M & Rao, BD 1999, MVDR based all-pole models for spectral coding of speech. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2, IEEE, pp. 669-672, Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99), Phoenix, AZ, USA, 3/15/99.
Murthi M, Rao BD. MVDR based all-pole models for spectral coding of speech. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2. IEEE. 1999. p. 669-672
Murthi, Manohar ; Rao, Bhaskar D. / MVDR based all-pole models for spectral coding of speech. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2 IEEE, 1999. pp. 669-672
@inbook{a20e581c87a441a5bccf58f21191122a,
title = "MVDR based all-pole models for spectral coding of speech",
abstract = "We present several analytical properties of Minimum Variance Distortionless Response (MVDR) based all-pole models that demonstrate the advantages and usefulness of these models for speech spectral coding. In particular, we show that a sufficient order MVDR all-pole model provides a spectral envelope that fits a set of spectral samples exactly with a parameterization convenient for quantization purposes. In addition, we show that MVDR all-pole filters provide a monotonically decreasing spectral distortion with increasing filter order. Furthermore, we show that the MVDR all-pole filter possesses the flexibility to be obtained from correlations based upon either spectral samples or conventional time-domain correlations. Finally, exploiting the insight gained from MVDR modeling, we introduce a novel class of constrained all-pole models for efficient spectral coding. In this approach, a subset of the Line Spectral Frequency (LSF) parameters associated with the all-pole model are judiciously fixed, leading to a simpler model parameterization.",
author = "Manohar Murthi and Rao, {Bhaskar D.}",
year = "1999",
language = "English (US)",
volume = "2",
pages = "669--672",
booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",

}

TY - CHAP

T1 - MVDR based all-pole models for spectral coding of speech

AU - Murthi, Manohar

AU - Rao, Bhaskar D.

PY - 1999

Y1 - 1999

N2 - We present several analytical properties of Minimum Variance Distortionless Response (MVDR) based all-pole models that demonstrate the advantages and usefulness of these models for speech spectral coding. In particular, we show that a sufficient order MVDR all-pole model provides a spectral envelope that fits a set of spectral samples exactly with a parameterization convenient for quantization purposes. In addition, we show that MVDR all-pole filters provide a monotonically decreasing spectral distortion with increasing filter order. Furthermore, we show that the MVDR all-pole filter possesses the flexibility to be obtained from correlations based upon either spectral samples or conventional time-domain correlations. Finally, exploiting the insight gained from MVDR modeling, we introduce a novel class of constrained all-pole models for efficient spectral coding. In this approach, a subset of the Line Spectral Frequency (LSF) parameters associated with the all-pole model are judiciously fixed, leading to a simpler model parameterization.

AB - We present several analytical properties of Minimum Variance Distortionless Response (MVDR) based all-pole models that demonstrate the advantages and usefulness of these models for speech spectral coding. In particular, we show that a sufficient order MVDR all-pole model provides a spectral envelope that fits a set of spectral samples exactly with a parameterization convenient for quantization purposes. In addition, we show that MVDR all-pole filters provide a monotonically decreasing spectral distortion with increasing filter order. Furthermore, we show that the MVDR all-pole filter possesses the flexibility to be obtained from correlations based upon either spectral samples or conventional time-domain correlations. Finally, exploiting the insight gained from MVDR modeling, we introduce a novel class of constrained all-pole models for efficient spectral coding. In this approach, a subset of the Line Spectral Frequency (LSF) parameters associated with the all-pole model are judiciously fixed, leading to a simpler model parameterization.

UR - http://www.scopus.com/inward/record.url?scp=0032637981&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032637981&partnerID=8YFLogxK

M3 - Chapter

VL - 2

SP - 669

EP - 672

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE

ER -