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Time-Frequency Masking for Speech Separation and Its Potential for Hearing Aid Design
DeLiang Wang*
* To whom correspondence should be addressed. E-mail: dwang{at}cse.ohio-state.edu.
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Abstract |
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A new approach to the separation of speech from
speech-in-noise mixtures is the use of time–frequency
(T-F) masking. Originated in the field of computational
auditory scene analysis, T-F masking performs separation
in the time–frequency domain. This article introduces
the T-F masking concept and reviews T-F masking
algorithms that separate target speech from either monaural
or binaural mixtures, as well as microphone-array
recordings. The review emphasizes techniques that are
promising for hearing aid design. This article also
surveys recent studies that evaluate the perceptual
effects of T-F masking techniques, particularly their
effectiveness in improving human speech recognition in
noise. An assessment is made of the potential benefits of
T-F masking methods for the hearing impaired in light
of the processing constraints of hearing aids. Finally,
several issues pertinent to T-F masking are discussed.
First published on October 30, 2008, doi:10.1177/1084713808326455
Trends in Amplification 2008;12:332.
A more recent version of this article appeared on December 1, 2008
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