A method for predicting psychological response to meaningless random noise when listening to audio signals based on a bi-variate membership function

✍ Scribed by Shizuma Yamaguchi; Tetsuro Saeki; Kensei Oimatsu

• Publisher: John Wiley and Sons
• Year: 2002
• Tongue: English
• Weight: 195 KB
• Volume: 85
• Category: Article
• ISSN: 1042-0967
• DOI: 10.1002/ecjc.1113

✦ Synopsis

Abstract

It is important for the design of a comfortable sound environment to grasp the way in which the sound pressure levels and power spectral characteristics of the audio signal are related to those of external noise and how they influence the psychological response that arises at the time of exposure to noise. In this paper, a method for estimating and/or predicting the human psychological response to the external noise when listening to an audio signal is proposed based on fuzzy set theory. Concretely, when persons listening to an audio signal are exposed to meaningless external random noise, the fuzzy relation between the sound pressure levels and power spectral characteristics of the audio signal and noise is approximately given a bi‐variate membership function with support of the signal‐to‐noise ratio. Next, a method for evaluating the psychological response is proposed by introducing the concept of fuzzy probability. Finally, the validity and applicability of the proposed method are confirmed experimentally by application to real observational data. The experimental results are in good agreement with the theory. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 85(8): 62–68, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.1113