While a lot of effort has been made in computational auditory scene analysis to segregate
voiced speech from monaural mixtures, unvoiced speech segregation has not received …

Existing binaural approaches to speech segregation place an exclusive burden on cues
related to the location of sound sources in space. These approaches can achieve excellent …

Recent advancements in deep learning have led to drastic improvements in speech
segregation models. Despite their success and growing applicability, few efforts have been …

The present invention relates to co-channel audio source separation. In one embodiment a
first frequency-related representation of plural regions of the acoustic signal is prepared over …

End-to-end learning models have demonstrated a remarkable capability in performing
speech segregation. Despite their wide-scope of real-world applications, little is known …

Traditional approaches in speech-signal processing analyze short-time frames of the signal
(eg, the short-time Fourier transform). Findings from auditory neurophysiology coupled with …

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 …

Single channel speech separation is a branch of speech separation process, which is an
ongoing interesting research topic for the past 40 years and continues till now, but still there …

Auditory streaming is a fundamental aspect of auditory perception. It refers to the ability to
parse mixed acoustic events into meaningful streams where each stream is assumed to …

The 'cocktail party problem'is the task of attending to a source of interest, usually speech, in
a complex acoustic environment with concurrent sounds. Despite the apparent ease with …