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- W2786757 abstract "Humans are skilled in selectively extracting a single soundsource in the presence of multiple simultaneous sounds. They(individuals with normal hearing) can also robustly adapt tochanging acoustic environments with great ease. Need hasarisen to incorporate such abilities in machines which wouldenable multiple application areas such as human-computerinteraction, automatic speech recognition, hearing aids andhands-free telephony. This work addresses the problem ofseparating multiple speech sources in realistic reverberantrooms using two microphones.Different monaural and binaural cues have previouslybeen modeled in order to enable separation. Binaural spatialcues i.e. the interaural level difference (ILD) and the inter-aural phase difference (IPD) have been modeled [1] in thetime-frequency (TF) domain that exploit the differences inthe intensity and the phase of the mixture signals (because ofthe different spatial locations) observed by two microphones(or ears). The method performs well with no or little rever-beration but as the amount of reverberation increases and thesources approach each other, the binaural cues are distortedand the interaural cues become indistinct, hence, degradingthe separation performance. Thus, there is a demand forexploiting additional cues, and further signal processing isrequired at higher levels of reverberation." @default.
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- W2786757 date "2013-01-01" @default.
- W2786757 modified "2023-09-26" @default.
- W2786757 title "Speech separation with dereverberation-based pre-processing incorporating visual cues" @default.
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