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TTS/notebooks/dataset_analysis
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Guy Elsmore-Paddock 0601f6fc0f Fix ipd Import in CheckSpectrograms.ipynb 
This fixes:
```
NameError: name 'ipd' is not defined
```
2021-03-20 17:28:10 -04:00
..
analyze.py
mass linter fix
2020-08-04 14:07:47 +02:00
AnalyzeDataset.ipynb
[ci skip] remove notebook outputs
2021-03-18 14:08:45 +01:00
CheckDatasetSNR.ipynb
Merge branch 'dev' of https://github.com/coqui-ai/TTS into dev
2021-03-18 14:09:47 +01:00
CheckSpectrograms.ipynb
Fix ipd Import in CheckSpectrograms.ipynb
2021-03-20 17:28:10 -04:00
PhonemeCoverage.ipynb
[ci skip] remove notebook outputs
2021-03-18 14:08:45 +01:00
README.md
Mass refactoring
2020-07-17 11:16:05 +02:00

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

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