Use of autocorrelation analysis to characterize audibility of low-frequency tonal signals

Jongkwan Ryu, Hiroshi Sato, Kenji Kurakata

研究成果: Article査読

4 被引用数 (Scopus)

抄録

Autocorrelation function (ACF) parameters were used to identify low-frequency tonal sound detected in actual living environments. Five houses whose residents had made complaints for unidentified noise were selected as measurement sites. The sounds and the residents detection responses were recorded simultaneously inside a room in each house. When they heard the suspected noise, the participants pushed a response button on a portable recording device as the sound was recorded. Results showed that tonal components in the low-frequency range were highly correlated with the sound detection. This study suggests that autocorrelation analysis can reveal the human detection of low-frequency tonal signals. Low-frequency tonal components were identified and quantified using ACF parameters: the delay time and amplitude of the ACFs first dominant peak. The amplitude was useful to describe the detection and prominence of low-frequency tonal components in noise.

本文言語English
ページ(範囲)5210-5222
ページ数13
ジャーナルJournal of Sound and Vibration
330
21
DOI
出版ステータスPublished - 2011 10 10
外部発表はい

ASJC Scopus subject areas

  • 凝縮系物理学
  • 材料力学
  • 音響学および超音波学
  • 機械工学

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