Robust Speaker Recognition Over Varying Channels Report from JHU workshop 2008

@inproceedings{Burget2009RobustSR,
  title={Robust Speaker Recognition Over Varying Channels Report from JHU workshop 2008},
  author={Luk{\'a}s Burget and Niko Br{\"u}mmer and Douglas A. Reynolds and Patrick Kenny and Jason W. Pelecanos and Robbie Vogt and Fabio Castaldo and Najim Dehak and R{\'e}da Dehak and Ondrej Glembek and Zahi N. Karam and John Noecker and Ciprian Constantin Costin and Valiantsina Hubeika and Sachin S. Kajarekar and Nicolas Scheffer},
  year={2009}
}
of planned work Nowadays, speaker recognition is relatively mature with the basic scheme, where speaker model is trained using target speaker speech and speech from large number of non-target speakers. However, the speech from non-target speakers is typically used only for finding general speech distribution (e.g. UBM). It is not used to find the " directions " important for discriminating between speakers. This scheme is reliable when the training and test data come from the same channel. All… CONTINUE READING
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