Commit Graph

69 Commits

Author SHA1 Message Date
mrq
8214aa23d7 converting over to a different intermediary dataset format 2024-04-18 21:24:06 -05:00
mrq
4f5c9e518a actually use the passed-through sample rate from encode for DAC because it does its own resampling I guess 2024-04-18 13:32:41 -05:00
mrq
2e9e6e68f7 Forgot I need to use the DAC's 44K model because 24K model has 32 codebooks instead of 9. 2024-04-17 20:59:25 -05:00
mrq
5ff2b4aab5 finally swallowing the Descript-Audio-Codec pill (I guess I'm going to have to regenerate my entire dataset) 2024-04-17 20:39:35 -05:00
mrq
545162195b deprecate sole AR/NAR model by only keeping the AR+NAR (the beauty of no one using this is that I can break compat as much as I want), add tone token for when I classify my dataset with tone/emotion in the future, some other things 2024-04-15 19:54:32 -05:00
mrq
09cda7d3f9 added sampling by speaker group name (might be better to de-emphasize the LibriVox/Audiobooks that are in large numbers, and emphasize the smaller pools), log cleanup 2023-10-16 19:30:38 -05:00
mrq
2bc2d08b09 (need to verify) added modifying model size and config bool to align with VALL-E continuous' methodology 2023-09-01 17:19:34 -05:00
mrq
78378ed1ce overhauled dataloading code to be marginally faster, mostly cleaned up, and can leverage a metadata json to help things out 2023-08-26 19:53:23 -05:00
mrq
22904a8639 more oversights fixed because I've been using a cached dataloader forever now and didn't catch these problems 2023-08-24 10:25:33 -05:00
mrq
4585824cd3 tweaks, including exporting on save/quit 2023-08-23 16:43:03 -05:00
mrq
7b1b82e0e5 inferencing cleanup 2023-08-20 21:36:02 -05:00
mrq
2d1a9f10c0 nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now) 2023-08-19 15:06:33 -05:00
mrq
77292c42f9 tested the training preparation for tasks ns, sr, and tse (I don't expect it to go well with only 2 RVQ bins) 2023-08-18 23:55:40 -05:00
mrq
bbb0563b3d pseudocode polyfill stub some other flavor of working on adding the tasks 2023-08-18 22:22:13 -05:00
mrq
fb4e816823 oops 2023-08-18 21:11:19 -05:00
mrq
d7deaf6def distributed training works now (hopefully) 2023-08-13 22:07:45 -05:00
mrq
608c1970eb ops 2023-08-03 20:36:19 -05:00
mrq
f6597e2dfe adjustments 2023-08-02 18:36:26 -05:00
mrq
bf8cedc9dd Rewrite init 2023-08-02 21:53:35 +00:00