Finding line spectral frequencies using the fast fourier transform

Tom Bäckström, Christian Fischer Pedersen, Johannes Fischer, Grzegorz Pietrzyk

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Main-stream speech codecs are based on modelling the speech source by a linear predictor. An efficient domain for quantization and coding of this linear predictor is the line spectral frequency representation, where the predictor is encoded into an ordered set of frequencies that correspond to the roots of the corresponding line spectral polynomials. While this representation is robust in terms of quantization, methods available for finding the line spectral frequencies are computationally complex. In this work, we present a method for finding these frequencies using the FFT, including methods for limiting numerical range in fixed-point implementations. Our experiments show that, in comparison to a zero-crossing search in the Chebyshev domain, the proposed method reduces complexity and improves robustness, while retaining accuracy.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherIEEE
Pages5122-5126
Number of pages5
Volume2015-August
ISBN (Electronic)9781467369978
DOIs
Publication statusPublished - 1 Jan 2015
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Acoustics, Speech, and Signal Processing - Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015
Conference number: 40

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP
CountryAustralia
CityBrisbane
Period19/04/201524/04/2015

Keywords

  • line spectral frequencies
  • linear prediction
  • root finding
  • speech coding

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