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TTS/notebooks/dataset_analysis
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Eren Gölge 016803beee Update notebooks 2021-10-21 16:29:06 +00:00
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AnalyzeDataset.ipynb Update notebooks 2021-10-21 16:29:06 +00:00
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 Fix import in CheckSpectrogram.ipynb 2021-08-17 12:12:36 +00:00
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 Update pylint 2.10.2 and fix lint issues 2021-08-30 08:10:35 +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