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csukuangfj 2022-11-02 20:26:04 +00:00
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_sources/recipes/librispeech/tdnn_lstm_ctc.rst.txt
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@ -398,7 +398,7 @@ We provide a colab notebook for decoding with pre-trained model.
|librispeech tdnn_lstm_ctc colab notebook| |librispeech tdnn_lstm_ctc colab notebook|
.. |librispeech tdnn_lstm_ctc colab notebook| image:: https://colab.research.google.com/assets/colab-badge.svg .. |librispeech tdnn_lstm_ctc colab notebook| image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/drive/1kNmDXNMwREi0rZGAOIAOJo93REBuOTcd :target: https://colab.research.google.com/drive/1-iSfQMp2So-We_Uu49N4AAcMInB72u9z?usp=sharing
**Congratulations!** You have finished the TDNN-LSTM-CTC recipe on librispeech in ``icefall``. **Congratulations!** You have finished the TDNN-LSTM-CTC recipe on librispeech in ``icefall``.

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recipes/librispeech/tdnn_lstm_ctc.html
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@ -446,7 +446,7 @@ $ ./tdnn_lstm_ctc/pretrained.py --help
<section id="colab-notebook"> <section id="colab-notebook">
<h2>Colab notebook<a class="headerlink" href="#colab-notebook" title="Permalink to this heading"></a></h2> <h2>Colab notebook<a class="headerlink" href="#colab-notebook" title="Permalink to this heading"></a></h2>
<p>We provide a colab notebook for decoding with pre-trained model.</p> <p>We provide a colab notebook for decoding with pre-trained model.</p>
<p><a class="reference external" href="https://colab.research.google.com/drive/1kNmDXNMwREi0rZGAOIAOJo93REBuOTcd"><img alt="librispeech tdnn_lstm_ctc colab notebook" src="https://colab.research.google.com/assets/colab-badge.svg" /></a></p> <p><a class="reference external" href="https://colab.research.google.com/drive/1-iSfQMp2So-We_Uu49N4AAcMInB72u9z?usp=sharing"><img alt="librispeech tdnn_lstm_ctc colab notebook" src="https://colab.research.google.com/assets/colab-badge.svg" /></a></p>
<p><strong>Congratulations!</strong> You have finished the TDNN-LSTM-CTC recipe on librispeech in <code class="docutils literal notranslate"><span class="pre">icefall</span></code>.</p> <p><strong>Congratulations!</strong> You have finished the TDNN-LSTM-CTC recipe on librispeech in <code class="docutils literal notranslate"><span class="pre">icefall</span></code>.</p>
</section> </section>
</section> </section>