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dropped dataset caching

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Thomas Werkmeister
2019-04-29 11:07:04 +02:00
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README.md
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@@ -69,9 +69,7 @@ Audio length is approximately 6 secs.
## Datasets and Data-Loading
TTS provides a generic dataloder easy to use for new datasets. You need to write an adaptor to format and that's all you need.Check ```datasets/preprocess.py``` to see example adaptors. After you wrote an adaptor, you need to set ```dataset``` field in ```config.json```. Do not forget other data related fields.
You can also use pre-computed features. In this case, compute features with ```extract_features.py``` and set ```dataset``` field as ```tts_cache```.
TTS provides a generic dataloder easy to use for new datasets. You need to write an adaptor to format and that's all you need.Check ```datasets/preprocess.py``` to see example adaptors. After you wrote an adaptor, you need to set ```dataset``` field in ```config.json```. Do not forget other data related fields.
Example datasets, we successfully applied TTS, are linked below.