James Betker
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7929fd89de
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Refactor audio-style models into the audio folder
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2022-03-15 11:06:25 -06:00 |
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James Betker
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30ddac69aa
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lots of bad entries
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2022-03-05 23:15:59 -07:00 |
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James Betker
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dcf98df0c2
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++
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2022-03-05 23:12:34 -07:00 |
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James Betker
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64d764ccd7
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fml
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2022-03-05 23:11:10 -07:00 |
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James Betker
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ef63ff84e2
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pvd2
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2022-03-05 23:08:39 -07:00 |
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James Betker
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1a05712764
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pvd
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2022-03-05 23:05:29 -07:00 |
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James Betker
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03752c1cd6
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Report NaN
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2022-02-22 23:09:37 -07:00 |
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James Betker
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af50afe222
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pairedvoice: error out if clip is too short
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2022-02-21 19:11:10 -07:00 |
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James Betker
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2b36ca5f8e
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Revert paired back
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2022-01-16 21:10:46 -07:00 |
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James Betker
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7331862755
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Updated paired to randomly index data, offsetting memory costs and speeding up initialization
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2022-01-16 21:09:22 -07:00 |
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James Betker
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37e4e737b5
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a few fixes
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2022-01-16 15:17:17 -07:00 |
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James Betker
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35db5ebf41
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paired_voice_audio_dataset - aligned codes support
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2022-01-15 17:38:26 -07:00 |
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James Betker
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6706591d3d
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Fix dataset
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2022-01-06 15:24:37 -07:00 |
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James Betker
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f4484fd155
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Add "dataset_debugger" support
This allows the datasets themselves compile statistics and report them
via tensorboard and wandb.
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2022-01-06 12:38:20 -07:00 |
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James Betker
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f3cab45658
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Revise audio datasets to include interesting statistics in batch
Stats include:
- How many indices were skipped to retrieve a given index
- Whether or not a conditioning input was actually the file itself
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2022-01-06 11:15:16 -07:00 |
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James Betker
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06c1093090
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Remove collating from paired_voice_audio_dataset
This will now be done at the model level, which is more efficient
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2022-01-06 10:29:39 -07:00 |
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James Betker
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5e1d1da2e9
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Clean paired_voice
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2022-01-06 10:26:53 -07:00 |
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James Betker
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0fe34f57d1
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Use torch resampler
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2022-01-05 15:47:22 -07:00 |
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James Betker
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bbacffb790
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dataset improvements and fix to unified_voice_Bilevel
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2022-01-01 00:16:30 -07:00 |
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James Betker
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f0c4cd6317
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Taking another stab at a BPE tokenizer
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2021-12-30 13:41:24 -07:00 |
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James Betker
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51ce1b5007
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Add conditioning clips features to grand_conjoined
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2021-12-29 14:44:32 -07:00 |
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James Betker
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746392f35c
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Fix DS
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2021-12-25 15:28:59 -07:00 |
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James Betker
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736c2626ee
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build in character tokenizer
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2021-12-25 15:21:01 -07:00 |
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James Betker
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52410fd9d9
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256-bpe tokenizer
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2021-12-25 08:52:08 -07:00 |
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James Betker
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ead2a74bf0
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Add debug_failures flag
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2021-12-23 16:12:16 -07:00 |
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James Betker
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e55d949855
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GrandConjoinedDataset
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2021-12-23 14:32:33 -07:00 |
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James Betker
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b9de8a8eda
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More fixes
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2021-12-22 19:21:29 -07:00 |
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James Betker
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191e0130ee
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Another fix
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2021-12-22 18:30:50 -07:00 |
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James Betker
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6c6daa5795
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Build a bigger, better tokenizer
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2021-12-22 17:46:18 -07:00 |
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James Betker
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c737632eae
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Train and use a bespoke tokenizer
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2021-12-22 15:06:14 -07:00 |
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James Betker
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a9629f7022
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Try out using the GPT tokenizer rather than nv_tacotron
This results in a significant compression of the text domain, I'm curious what the
effect on speech quality will be.
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2021-12-22 14:03:18 -07:00 |
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James Betker
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7bf4f9f580
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duplicate nvtacotron
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2021-12-22 13:48:30 -07:00 |
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