MVDR based all-pole models for spectral coding of speech

Manohar N. Murthi, Bhaskar D. Rao

Research output: Contribution to journalConference article

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)
Pages (from-to)669-672
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - Jan 1 1999
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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