TTS/notebooks/dataset_analysis
Eren Gölge 72d85e53c9
Update model file extension (#1422)
* Update model file ext to ```.pth```

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2022-03-22 17:55:00 +01:00
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AnalyzeDataset.ipynb Update model file extension (#1422) 2022-03-22 17:55:00 +01:00
CheckDatasetSNR.ipynb Update notebooks 2021-10-21 16:29:06 +00:00
CheckPitch.ipynb Update notebooks 2021-10-21 16:29:06 +00:00
CheckSpectrograms.ipynb Update CheckSpectrograms notebook (#1418) 2022-03-18 16:48:24 +01:00
PhonemeCoverage.ipynb Rename `load_meta_data` as `load_tts_data` 2021-09-30 14:47:56 +00:00
README.md Mass refactoring 2020-07-17 11:16:05 +02:00
analyze.py fix linter 2021-12-20 11:54:10 +00:00

README.md

Simple Notebook to Analyze a Dataset

By the use of this notebook, you can easily analyze a brand new dataset, find exceptional cases and define your training set.

What we are looking in here is reasonable distribution of instances in terms of sequence-length, audio-length and word-coverage.

This notebook is inspired from https://github.com/MycroftAI/mimic2