|
|
cddf8ca814
|
sort batches to try and reduce number of padded tokens in batched inference (also commented out F5 samples getting added to the demo page because I would have to regenerate them)
|
2024-12-11 22:45:38 -06:00 |
|
|
|
0c69e798f7
|
template cleanup
|
2024-12-11 20:06:55 -06:00 |
|
|
|
8568a93dad
|
added WER/SIM-O metrics, added APOLLO but I need to test it
|
2024-12-10 20:13:21 -06:00 |
|
|
|
a6c745bafb
|
chinese (mandarin?) support added (I guess I don't need pinyin, but tone markers are handled), korean validated, vocab adjusted
|
2024-12-09 14:26:19 -06:00 |
|
|
|
a032ff588f
|
doc update, added automatically deducing language from a given text, also checks if the input is already phonemized text to allow direct control without being cringe (procrastinating adding WER/SIM-O)
|
2024-12-07 22:34:25 -06:00 |
|
|
|
6845c447c9
|
added more harvard sentences to load from a text file
|
2024-11-21 13:18:11 -06:00 |
|
|
|
a9d2faf2d7
|
all I can do now until I wait for the model to (re)train for pure NAR
|
2024-11-09 22:57:34 -06:00 |
|
|
|
a96f5aee32
|
adjusted how i want to pass eval kwargs
|
2024-10-25 20:38:09 -05:00 |
|
|
|
1a02cd5bce
|
modify demo template to say F5 instead of YourTTS, swap LoRA comparison around to make the lora'd the base file, and the no-lora the suffix'd file
|
2024-10-21 19:52:02 -05:00 |
|
|
|
75a4c866d6
|
more demo page tweaks, added arg to force enable/disable LoRAs for inferencing (to-do: setup arg flags to handle this, and checkbox in web UI)
|
2024-10-10 19:04:12 -05:00 |
|
|
|
96d05be73c
|
demo page tweaks
|
2024-10-10 13:52:37 -05:00 |
|
|
|
9da630f73a
|
swap order of demo entries, as the model prioritizes adhering to the speaker prompt more (instead of trying to match the ground truth magically)
|
2024-09-25 23:31:24 -05:00 |
|
|
|
2266d34818
|
oops
|
2024-09-21 16:06:01 -05:00 |
|
|
|
d31f27119a
|
regex replace out the (lang) markers in espeak, updated tokenizer vocab as lazily as possible to not have unk tokens
|
2024-09-21 12:29:28 -05:00 |
|
|
|
491ae2a684
|
some insanity for sanity checks (some phonemes from phonemizing japanese are not in my tokenizer...)
|
2024-07-22 00:30:40 -05:00 |
|
|
|
3e5ca3a201
|
more demo page tweaks
|
2024-07-21 19:31:13 -05:00 |
|
|
|
e19aa643a6
|
cleaned up demo page creation, added option to pass in RVQ level sampling distribution for training
|
2024-07-21 19:12:03 -05:00 |
|
|
|
d87b492295
|
added rudimentary demo page creator (currently just embeds base64 wavs into the page, need to test not doing that)
|
2024-07-19 20:49:40 -05:00 |
|
|
|
39f961abcd
|
test trainer (vall_e.models.ar_nar) tests some SpeechX features
|
2024-07-18 18:46:45 -05:00 |
|
|
|
f770467eb3
|
stuff
|
2024-07-01 18:13:29 -05:00 |
|
|
|
396af541c5
|
ugh
|
2024-06-30 11:11:58 -05:00 |
|
|
|
dced595391
|
more cleanup
|
2024-06-30 11:00:12 -05:00 |
|
|
|
dd40463803
|
limit eval size because the training batch size seems to be used for the eval dataloader, somehow (bandaid)
|
2024-06-29 09:11:28 -05:00 |
|
|
|
934672252b
|
feverish cleanup
|
2024-06-03 21:28:49 -05:00 |
|
|
|
7feeb944a0
|
probably insane with even entertaining going this route
|
2024-06-03 20:26:27 -05:00 |
|
|
|
458b95d196
|
added option to split between text loss and audio loss (to-do: document this better), because it may or may not be a problem with LLaMA-backed models because my loss hovers around 3.9 / 56% accuracy despite sounding decent at the moment
|
2024-05-19 11:23:56 -05:00 |
|
|
|
d9aabfa3ae
|
final tweaks, hopefully, again
|
2024-05-15 23:04:19 -05:00 |
|
|
|
8d79f78e0a
|
god I need to replace omegaconf
|
2024-05-12 14:01:52 -05:00 |
|
|
|
215800484d
|
correcting my wrong of assuming I could just use raw 24Khz audio in the 44Khz DAC without too much of an issue (there are issues)
|
2024-05-04 23:49:15 -05:00 |
|
|
|
783db3d2c5
|
forgot to commit the DAC test utterance
|
2024-05-04 09:46:51 -05:00 |
|
|
|
6a11bc9cb6
|
update tokenizer because, for some reason, it had the wrong order for the special tokens to where eos = unk
|
2024-04-29 09:09:26 -05:00 |
|
|
|
071fb97777
|
dataset preparation script updates, caved and am using HF tokenizer now
|
2024-04-21 14:49:18 -05:00 |
|
|
|
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 |
|
|
|
2deb995cc9
|
updated setup script
|
2023-10-06 20:08:28 -05:00 |
|
|
|
4abd6564d1
|
fixed training stats not loading from exported weights, a bit of a readme cleanup, updated example training yaml
|
2023-09-23 19:59:00 -05:00 |
|
|
|
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 |
|
|
|
f7f6d3bf6d
|
validated that SpeechX tasks cse and nse works, added a method to test each task by invoking python3 -m vall_e.data --action=tasks --tasks='sr,se,cse,nse'
|
2023-08-19 09:50:07 -05:00 |
|
|
|
8f42c578c9
|
setting up for allowing training for a partial amount of the speechx tasks (do NOT try this at home yet without a proper model, as performance is predecated on having a solid base vall-e model for the tasks
|
2023-08-19 00:16:08 -05:00 |
|
|
|
508677fcd5
|
repaired auraloss loss calc during eval/val
|
2023-08-18 21:19:47 -05:00 |
|
|
|
fb4e816823
|
oops
|
2023-08-18 21:11:19 -05:00 |
|
|
|
5fa86182b5
|
oops
|
2023-08-14 10:50:40 -05:00 |
|
|
|
d7deaf6def
|
distributed training works now (hopefully)
|
2023-08-13 22:07:45 -05:00 |
|
|
|
c85101403f
|
big cleanup
|
2023-08-03 20:26:36 -05:00 |
|
|
|
7a06b27a9c
|
Tweaks
|
2023-08-02 22:06:39 +00:00 |
|
|
|
d88e43800b
|
adjustments
|
2023-08-02 22:01:49 +00:00 |
|
|
|
bf8cedc9dd
|
Rewrite init
|
2023-08-02 21:53:35 +00:00 |
|
