Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech

@article{Weiss2017SequencetoSequenceMC,
  title={Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech},
  author={Ron J. Weiss and Jan Chorowski and Navdeep Jaitly and Yonghui Wu and Zhifeng Chen},
  journal={CoRR},
  year={2017},
  volume={abs/1703.08581}
}
We present a recurrent encoder-decoder deep neural network architecture that directly translates speech in one language into text in another. The model does not explicitly transcribe the speech into text in the source language, nor does it require supervision from the ground truth source language transcription during training. We apply a slightly modified sequence-to-sequence with attention architecture that has previously been used for speech recognition and show that it can be repurposed for… CONTINUE READING
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