Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

@inproceedings{Zeinali2016DeepNN,
  title={Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification},
  author={Hossein Zeinali and Luk{\'a}s Burget and Hossein Sameti and Ondrej Glembek and Oldrich Plchot},
  booktitle={Odyssey},
  year={2016}
}
Techniques making use of Deep Neural Networks (DNN) have recently been seen to bring large improvements in textindependent speaker recognition. In this paper, we verify that the DNN based methods result in excellent performances in the context of text-dependent speaker verification as well. We build our system on the previously introduced HMM based ivector approach, where phone models are used to obtain frame level alignment in order to collect sufficient statistics for ivector extraction. For… CONTINUE READING
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