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Meryem Sakin e4b8d71f2b Update AnalyzeDataset.ipynb (#2783)
2023-10-16 11:52:37 +02:00
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analyze.py
fix linter
2021-12-20 11:54:10 +00:00
AnalyzeDataset.ipynb
Update AnalyzeDataset.ipynb (#2783)
2023-10-16 11:52:37 +02:00
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
Fixed spectrogram checking on librosa 0.10.x (#2899)
2023-09-04 12:58:27 +02:00
PhonemeCoverage.ipynb
Fix imports (#2845)
2023-08-07 13:19:26 +02:00
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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