An empirical exploration of CTC acoustic models

  title={An empirical exploration of CTC acoustic models},
  author={Yajie Miao and Mohammad Gowayyed and Xingyu Na and Tom Ko and Florian Metze and Alexander H. Waibel},
  journal={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
The connectionist temporal classification (CTC) loss function has several interesting properties relevant for automatic speech recognition (ASR): applied on top of deep recurrent neural networks (RNNs), CTC learns the alignments between speech frames and label sequences automatically, which removes the need for pre-generated frame-level labels. CTC systems also do not require context decision trees for good performance, using context-independent (CI) phonemes or characters as targets. This… CONTINUE READING
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