Modelling auditory scene analysis: a representational approach
Guy J. Brown, Martin P. Cooke · Canadian acoustics · 1992
Speech is normally heard in the presence of other interfering sounds, a fact which has plagued speech technology research. A technique for segregating speech from an arbitrary noise source is described. The approach is based on a model of human auditory processing. The auditory system has an extraordinary ability to group together acoustic components that belong to the same sound source, a phenomenon named auditory scene analysis by Bregman (1989). Models of auditory scene analysis could provide a robust front-end for speech recognition in noisy environments, and may also have applications in automatic music transcription. Additionally, the authors hope that models of this type will contribute to the understanding of hearing and hearing impairment