Parametric AM/FM decomposition for speech and audio coding

Tom Bäckström*, Sascha Disch

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Audio transform coding methods generally employ an assumption of locally stationary signals. However, as demands on coding efficiency increase, the assumption of stationarity becomes increasingly challenging. In this article we study a parametric method for modeling variability in an audio signal, especially with voiced speech in mind. Namely, we model modulation in fundamental frequency and amplitude, with the objective of allowing normalization of the signal to satisfy the stationarity requirements of transform based coders.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
PublisherIEEE
Pages333-336
Number of pages4
ISBN (Print)9781424436798
DOIs
Publication statusPublished - 1 Dec 2009
MoE publication typeA4 Article in a conference publication
EventIEEE Workshop on Applications of Signal Processing to Audio and Acoustics - New Paltz, United States
Duration: 18 Oct 200921 Oct 2009

Workshop

WorkshopIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Abbreviated titleWASPAA
CountryUnited States
CityNew Paltz
Period18/10/200921/10/2009

Keywords

  • AM/FM decomposition
  • Signal variation modeling
  • Speech and audio coding

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  • Cite this

    Bäckström, T., & Disch, S. (2009). Parametric AM/FM decomposition for speech and audio coding. In 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 (pp. 333-336). [5346529] IEEE. https://doi.org/10.1109/ASPAA.2009.5346529