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Time—Frequency Masking for Speech Separation and Its Potential for Hearing Aid DesignDepartment of Computer Science & Engineering, Center for Cognitive Science, The Ohio State University, Columbus, Ohio, dwang{at}cse.ohio-state.edu 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.
Key Words: computational auditory scene analysis • ideal binary mask • time—frequency masking • hearing aids
This version was published on December
1, 2008 Trends in Amplification, Vol. 12, No. 4,
332-353 (2008) |
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