Abstract
Research on the effects of noise on the auditory system has shown that the frequency domain kurtosis (FDK) statistic could be a useful metric in quantifying a noise environment for hearing conservation purposes. Joint time-frequency analytical methods used in signal processing may be of use in the extraction of such information from an exposure environment characterized by nonstationary signals. This paper shows that the FDK metric can be efficiently computed by applying the wavelet transform to the analysis of an acoustic signal.
Original language | English |
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Title of host publication | IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics |
Publisher | IEEE |
Publication status | Published - 1995 |
Event | Proceedings of the 1995 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics - New Paltz, NY, USA Duration: 1995 Oct 15 → 1995 Oct 18 |
Other
Other | Proceedings of the 1995 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics |
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City | New Paltz, NY, USA |
Period | 95-10-15 → 95-10-18 |
All Science Journal Classification (ASJC) codes
- Signal Processing