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We propose a novel speaker-dependent (SD) multi-condition (MC) training approach to joint learning of deep neural networks (DNNs) of acoustic models and an explicit speech separation structure for recognition of multi-talker mixed speech in a single-channel setting. First, an MC acoustic modeling framework is established to train a SD-DNN model in multi-talker scenarios. Such a recognizer significantly...
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