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  1. A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

    Python 275 85

  2. A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

    Python 118 39

  3. A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

    Python 75 25

  4. A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.

    Python 32 9

  5. A PyTorch implementation of Tacotron2, an end-to-end text-to-speech(TTS) system described in "Natural TTS Synthesis By Conditioning Wavenet On Mel Spectrogram Predictions".

    Python 33 4

  6. A PyTorch implementation of a punctuation prediction system using (B)LSTM, which automatically adds suitable punctuation into text without punctuation.

    Python 22 7

92 contributions in the last year

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Contribution activity

November 2019

Created an issue in espnet/espnet that received 6 comments

Transformer on Librispeech get RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM

Hello, when I use Librispeech's config to train Transformer model on another dataset, I get RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM after…

6 comments

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