End-to-End Text-Independent Speaker Verification with Triplet Loss on Short Utterances

@inproceedings{Zhang2017EndtoEndTS,
  title={End-to-End Text-Independent Speaker Verification with Triplet Loss on Short Utterances},
  author={Chunlei Zhang and Kazuhito Koishida},
  booktitle={INTERSPEECH},
  year={2017}
}
Text-independent speaker verification against short utterances is still challenging despite of recent advances in the field of speaker recognition with i-vector framework. In general, to get a robust i-vector representation, a satisfying amount of data is needed in the MAP adaptation step, which is hard to meet under short duration constraint. To overcome this, we present an endto-end system which directly learns a mapping from speech features to a compact fixed length speaker discriminative… CONTINUE READING
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