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    ARTICLE

    Binaural Speech Separation Algorithm Based on Long and Short Time Memory Networks

    Lin Zhou1, *, Siyuan Lu1, Qiuyue Zhong1, Ying Chen1, 2, Yibin Tang3, Yan Zhou3

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1373-1386, 2020, DOI:10.32604/cmc.2020.010182 - 30 April 2020

    Abstract Speaker separation in complex acoustic environment is one of challenging tasks in speech separation. In practice, speakers are very often unmoving or moving slowly in normal communication. In this case, the spatial features among the consecutive speech frames become highly correlated such that it is helpful for speaker separation by providing additional spatial information. To fully exploit this information, we design a separation system on Recurrent Neural Network (RNN) with long short-term memory (LSTM) which effectively learns the temporal dynamics of spatial features. In detail, a LSTM-based speaker separation algorithm is proposed to extract the… More >

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