Monaural Speech Segregation
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Speech segregation in the monaural condition is a primary task of
auditory scene analysis, and has proven to be very challenging.  We
present a multi-stage model for the task. T model starts with simulated
auditory periphery.  A subsequent stage computes mid-level auditory re
presentations, including correlograms and cross-channel correlations.
The core of the system performs segmentation and grouping in a
two-dimensional time-frequency representation that encodes proximity in
frequency and time, periodicity, and amplitude modulation (AM).
Motivated by psychoacoustic observations, our system employs different
mechanisms for handling resolved and unresolved harmonics, and for the
latter the system generates segments based on AM in addition to temporal
continuity and groups them according to AM repetition rates. The model
yields substantially better performance than previous systems.  Sound
demos will be shown to illustrate system performance.