Starting in the late 1980s, wavelets have been used for a variety of purposes in music research. The earliest and still most prevalent use of wavelets has been time–frequency representations of musical signals, as a superior alternative to Fourier analysis. Computer music specialists interested in sound synthesis have also used wavelets as a means of dynamic filtering and separating monaurally superimposed sounds. One researcher has explored the use of wavelets in detecting patterns of whole pitches or rhythms, with varied results. And researchers at Yale University have used wavelets for noise reduction of a 1889 recording of Johannes Brahms performing his Hungarian Dance Number 1. In this paper the different types of wavelet transforms used in the music research mentioned above are explained, and future uses in timber research and sound synthesis is explored.
Skip Nav Destination
Article navigation
November 2001
Meeting abstract. No PDF available.
November 01 2001
The influence of wavelets on music research
Scott Spiegelberg
Scott Spiegelberg
Eastman School of Music, Rochester, NY 14507
Search for other works by this author on:
J. Acoust. Soc. Am. 110, 2754 (2001)
Citation
Scott Spiegelberg; The influence of wavelets on music research. J. Acoust. Soc. Am. 1 November 2001; 110 (5_Supplement): 2754. https://doi.org/10.1121/1.4777596
Download citation file:
45
Views
Citing articles via
All we know about anechoic chambers
Michael Vorländer
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Performance study of ray-based ocean acoustic tomography methods for estimating submesoscale variability in the upper ocean
Etienne Ollivier, Richard X. Touret, et al.
Related Content
Pitches, amplitudes, and centroids: The PACT model of sound segmentation
J Acoust Soc Am (November 2001)
Sinusoidal wavelet transforms for pitch estimation of music signals
J Acoust Soc Am (May 2007)
Analysis, resynthesis, and modification of sound signals with the help of wavelet transforms (i.e., time‐and‐scale representations)
J Acoust Soc Am (August 2005)
Wavelet transforms for bioacoustic signal processing
J Acoust Soc Am (October 1999)
Time–frequency representation with variant array of frequency-domain Prony estimators
J. Acoust. Soc. Am. (October 2021)