Perceived quality of resonance-based decomposed vowels and consonants

Chin Tuan Tan, Benjamin Guo, Ivan Selesnick

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


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 publication131st Audio Engineering Society Convention 2011
Number of pages7
StatePublished - 2011
Event131st Audio Engineering Society Convention 2011 - New York, NY, United States
Duration: Oct 20 2011Oct 23 2011

Publication series

Name131st Audio Engineering Society Convention 2011


Other131st Audio Engineering Society Convention 2011
Country/TerritoryUnited States
CityNew York, NY

ASJC Scopus subject areas

  • Modeling and Simulation
  • Acoustics and Ultrasonics


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