Time-Frequency Masking for Speech Separation and Its Potential for Hearing Aid Design

作     者：Wang, Deliang 

作者机构：Department of Computer Science & Engineering Center for Cognitive Science The Ohio State University Columbus Ohio United States 

出 版 物：《Trends in Amplification》 (Trends Amplif.)

年 卷 期：2008年第12卷第4期

页      面：332-353页

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 0502[文学-外国语言文学] 1002[医学-临床医学] 100212[医学-眼科学] 10[医学] 

基　　金：National Science Foundation, NSF, (IIS-0534707) Air Force Office of Scientific Research, AFOSR, (FA9550-08-1-0155) 

主　　题：computational auditory scene analysis hearing aids ideal binary mask time-frequency masking 

摘      要：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. © 2008, SAGE Publications. All rights reserved.