All-pole modeling of speech based on the minimum variance distortionless response spectrum

Manohar N. Murthi, Bhaskar D. Rao

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

In this paper, we develop more fully all-pole modeling of speech based on the Minimum Variance Distortionless Response (MVDR) spectrum. It is shown that MVDR modeling provides a class of all-pole models that are flexible for tackling a wide variety of speech modeling objectives. In particular, the high order MVDR spectrum provides a robust model for all types of speech including voiced speech, un-voiced speech, and mixed spectra. Furthermore, it is simply obtained, and is always superior to the Linear Prediction (LP) spectrum. With its high quality modeling, the high order MVDR spectrum is suitable for use as a high quality reference spectrum, or for applications like speech recognition. In addition, the MVDR model possesses flexibility for developing low order all-pole models suitable for compression applications. In particular, Reduced Order MVDR all-pole models are shown to often outperform conventional LP filters in modeling all types of speech spectra. For more accurate modeling of a set of speech spectral samples in the frequency domain, MVDR modeling facilitates the development of superior Weighted All-Pole filters.

Original languageEnglish (US)
Pages (from-to)1061-1065
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Jan 1 1998
Externally publishedYes
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 2 1997Nov 5 1997

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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