Resonance-based decomposition for the manipulation of acoustic cues in speech: An assessment of perceived quality

Chin Tuan Tan, Benjamin Guo, Ivan Selesnick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ultimate objective of this study is to employ a resonance-based decomposition method for the manipulation of acoustic cues in speech. Resonance-based decomposition (Selesnick, 2010) is a newly proposed nonlinear signal analysis method based not on frequency or scale but on resonance; the method is able to decompose a complex non-stationary signal into a 'high-resonance' component and a 'low-resonance' component using a combination of low- and high- Q-factors. In this study, we conducted a subjective listening experiment on five normal hearing listeners to assess the perceived quality of decomposed components, with the intention of deriving the perceptually relevant combinations of low- and high- Q-factors. Our results show that normal hearing listeners generally rank high-resonance components of speech stimuli higher than low-resonance components. This may be due to a greater salience of perceptually significant formant cues in high-resonance stimuli.

Original languageEnglish (US)
Title of host publication2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Pages333-336
Number of pages4
DOIs
StatePublished - Dec 20 2011
Event2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011 - New Paltz, NY, United States
Duration: Oct 16 2011Oct 19 2011

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
CountryUnited States
CityNew Paltz, NY
Period10/16/1110/19/11

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Keywords

  • acoustic cue manipulation
  • resonance-based decomposition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Tan, C. T., Guo, B., & Selesnick, I. (2011). Resonance-based decomposition for the manipulation of acoustic cues in speech: An assessment of perceived quality. In 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011 (pp. 333-336). [6082329] (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics). https://doi.org/10.1109/ASPAA.2011.6082329