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vmazalov authored Feb 23, 2017
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Expand Up @@ -4,7 +4,7 @@ The criterion node for CTC training is *ForwardBackward*. This node is an abstra

# Preparation of Training Data

Features are consumed with the HTKMLFDeserializer and labels with the TextDeserializer. To convert a traditional set of MLF/SCP files to the format suitable for CTC training, use [this python script](https://github.com/vmazalov/CNTKConfigs/blob/master/ctc_label_conversion.py). Assuming that the python script is placed into the CNTK directory with speech test data, example run to convert features is
Features are consumed with the HTKMLFDeserializer and labels with the TextDeserializer. To convert a traditional set of MLF/SCP files to the format suitable for CTC training, use [this python script](https://github.com/vmazalov/Scripts/blob/master/ctc_label_conversion.py). Assuming that the python script is placed into the CNTK directory with speech test data, example run to convert features is
<pre><code> %CNTK_path%\Tests\EndToEndTests\Speech\Data>python ctc_label_conversion.py --inputScpFile glob_0000.scp --inputMlfFile glob_0000.mlf --inputPhoneListFile state.list --outputScpFile ctc_glob_0000.scp --outputLabelFile ctc_glob_0000.mlf </code></pre>

There are several assumptions about the input data:
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