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.

Authors: Tan, Chin-Tuan; Guo, Benjamin; Selesnick, Ivan
Affiliations: New York University School of Medicine, New York, NY, USA; Polytechnic Institute of New York University, Brooklyn, NY, USA(See document for exact affiliation information.)
AES Convention: 131 (October 2011) Paper Number: 8480
Publication Date: October 19, 2011 Import into BibTeX
Subject: Posters: Speech
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16006

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