DNN-Based Score Calibration With Multitask Learning for Noise Robust Speaker Verification.
IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)
摘要
This paper proposes and investigates several deep neural network (DNN) based score compensation, transformation, and calibration algorithms for enhancing the noise robustness of i-vector speaker verification systems. Unlike conventional calibration methods where the required score shift is a linear function of SNR or log-duration, the DNN approach learns the complex relationship between the score ...
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关键词
Signal to noise ratio,Calibration,Noise measurement,Speech,Noise robustness,Training
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