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We present a state-of-the-art end-to-end Automatic Speech Recognition (ASR) model.
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Y. Miao, M. Gowayyed, and F. Metze, “EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding,” in
2015
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2015
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2015
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2015
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T. Moriya, T. Shinozaki, and S. Watanabe, “Kaldi recipe for Japanese spontaneous speech recognition and its evaluation,” in
2015
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W. Chan, Y. Zhang, Q. Le, and N. Jaitly, “Latent sequence decompositions,” in
2017
Closest in time.
S. Kim, T. Hori, and S. Watanabe, “Joint CTC-attention based end-to-end speech recognition using multi-task learning,” in
2017
Closest in time.
Y. Zhang, W. Chan, and N. Jaitly, “Very deep convolutional networks for end-to-end speech recognition,” in
2017
Closest in time.