Advances in all-neural speech recognition

  title={Advances in all-neural speech recognition},
  author={Geoffrey Zweig and Chengzhu Yu and Jasha Droppo and Andreas Stolcke},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
This paper advances the design of CTC-based all-neural (or end-to-end) speech recognizers. We propose a novel symbol inventory, and a novel iterated-CTC method in which a second system is used to transform a noisy initial output into a cleaner version. We present a number of stabilization and initialization methods we have found useful in training these networks. We evaluate our system on the commonly used NIST 2000 conversational telephony test set, and significantly exceed the previously… CONTINUE READING
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