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Merge pull request #116 from jmetzz/timit-dataset-link-patch
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Update README.md
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andabi authored Jul 31, 2019
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Expand Up @@ -36,7 +36,7 @@ CBHG is known to be good for capturing features from sequential data.
* Net1 classifies spectrogram to phonemes that consists of 60 English phonemes at every timestep.
* For each timestep, the input is log magnitude spectrogram and the target is phoneme dist.
* Objective function is cross entropy loss.
* [TIMIT dataset](https://catalog.ldc.upenn.edu/ldc93s1) used.
* [TIMIT dataset](https://catalog.ldc.upenn.edu/LDC93S1) used.
* contains 630 speakers' utterances and corresponding phones that speaks similar sentences.
* Over 70% test accuracy

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