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Automatic blind source separation of speech sources in an auditory scene

机译:听觉场景中语音源的自动盲源分离

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Hearing-impaired individuals have much more difficulty, then normal hearing individuals, with speech intelligibility in cocktail party situations. Hence, the overall research goal is to improve intelligibility of speech and to enhance spatial hearing of hearing aids in these situations. It is known that spatial audio leads to improved speech intelligibility. As a step towards this goal, source separation algorithms were investigated. In particular, the DUET Blind Source Separation (BSS) algorithm was modified to automatically extract speech sources in a simulated auditory scene.
机译:在鸡尾酒会上,听力受损的人比普通听力的人困难得多,其语音清晰度也要比普通听力的人高。因此,总体研究目标是在这些情况下提高语音的清晰度并增强助听器的空间听觉。众所周知,空间音频导致语音清晰度的提高。作为朝着这个目标迈出的一步,研究了源分离算法。特别是,对DUET盲源分离(BSS)算法进行了修改,可以在模拟听觉场景中自动提取语音源。

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