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• W2110678343 abstract "A fundamental problem in auditory and speech processing is the segregation of speech from concurrent sounds. This problem has been a focus of study in computational auditory scene analysis (CASA), and it has also been investigated from the perspective of blind source separation. Using a standard corpus of voiced speech mixed with interfering sounds, we report a comparison between CASA and blind source separation techniques, which have been developed independently. Our comparison reveals that they perform well under very different conditions. A number of conclusions are drawn with respect to their relative strengths and weaknesses in speech segregation applications as well as in modeling auditory function." @default.
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• W2110678343 date "2001-03-01" @default.
• W2110678343 modified "2023-10-16" @default.
• W2110678343 title "A comparison of auditory and blind separation techniques for speech segregation" @default.
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• W2110678343 doi "https://doi.org/10.1109/89.905993" @default.
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