Integrating monaural and binaural cues for sound localization and segregation in reverberant environments (2012)
Abstract / truncated to 115 words
The problem of segregating a sound source of interest from an acoustic background has been extensively studied due to applications in hearing prostheses, robust speech/speaker recognition and audio information retrieval. Computational auditory scene analysis (CASA) approaches the segregation problem by utilizing grouping cues involved in the perceptual organization of sound by human listeners. Binaural processing, where input signals resemble those that enter the two ears, is of particular interest in the CASA field. The dominant approach to binaural segregation has been to derive spatially selective filters in order to enhance the signal in a direction of interest. As such, the problems of sound localization and sound segregation are closely tied. While spatial filtering has been ... toggle 6 keywordscomputational auditory scene analysis – speech segregation – binaural localization – source separation – speech enhancement – time-frequency mask
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