Curriculum Learning Based Approaches for Noise Robust Speaker Recognition.
IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)
摘要
Performance of speaker identification (SID) systems is known to degrade rapidly in the presence of mismatch such as noise and channel degradations. This study introduces a novel class of curriculum learning (CL) based algorithms for noise robust speaker recognition. We introduce CL-based approaches at two stages within a state-of-the-art speaker verification system: at the i-Vector extractor estim...
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关键词
Training,Noise measurement,Noise robustness,Speech,Signal to noise ratio,Estimation,Rats
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