Additive noise compensation in the i-vector space for speaker recognition

@article{Kheder2015AdditiveNC,
  title={Additive noise compensation in the i-vector space for speaker recognition},
  author={Waad Ben Kheder and Driss Matrouf and Jean-François Bonastre and Moez Ajili and Pierre-Michel Bousquet},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={4190-4194}
}
State-of-the-art speaker recognition systems performance degrades considerably in noisy environments even though they achieve very good results in clean conditions. In order to deal with this strong limitation, we aim in this work to remove the noisy part of an i-vector directly in the i-vector space. Our approach offers the advantage to operate only at the i-vector extraction level, letting the other steps of the system unchanged. A maximum a posteriori (MAP) procedure is applied in order to… CONTINUE READING
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