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0d4329d2e3
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sanity cleanup
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2024-12-22 15:05:45 -06:00 |
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5788db849b
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added extremely barebones vall_e.cpp so I can stop having to juggle this file around so much
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2024-12-21 10:57:02 -06:00 |
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7617b6485f
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instead just compute a bunch of stuff on the transcriptions to store later in different names so I can just retrieve what I want, also added tongue twisters for nefarious reasons
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2024-12-18 23:43:11 -06:00 |
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ed152f78df
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tweaks to prompt duration to allow me to divorce how i use it for training with how I'm using it for the demo page, and demo page tweaks to make my life easier
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2024-12-17 19:33:04 -06:00 |
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cddf8ca814
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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)
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2024-12-11 22:45:38 -06:00 |
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0c69e798f7
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template cleanup
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2024-12-11 20:06:55 -06:00 |
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8568a93dad
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added WER/SIM-O metrics, added APOLLO but I need to test it
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2024-12-10 20:13:21 -06:00 |
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a6c745bafb
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chinese (mandarin?) support added (I guess I don't need pinyin, but tone markers are handled), korean validated, vocab adjusted
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2024-12-09 14:26:19 -06:00 |
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a032ff588f
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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)
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2024-12-07 22:34:25 -06:00 |
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6845c447c9
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added more harvard sentences to load from a text file
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2024-11-21 13:18:11 -06:00 |
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a9d2faf2d7
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all I can do now until I wait for the model to (re)train for pure NAR
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2024-11-09 22:57:34 -06:00 |
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a96f5aee32
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adjusted how i want to pass eval kwargs
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2024-10-25 20:38:09 -05:00 |
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1a02cd5bce
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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
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2024-10-21 19:52:02 -05:00 |
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75a4c866d6
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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)
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2024-10-10 19:04:12 -05:00 |
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96d05be73c
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demo page tweaks
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2024-10-10 13:52:37 -05:00 |
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9da630f73a
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swap order of demo entries, as the model prioritizes adhering to the speaker prompt more (instead of trying to match the ground truth magically)
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2024-09-25 23:31:24 -05:00 |
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2266d34818
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oops
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2024-09-21 16:06:01 -05:00 |
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d31f27119a
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regex replace out the (lang) markers in espeak, updated tokenizer vocab as lazily as possible to not have unk tokens
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2024-09-21 12:29:28 -05:00 |
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491ae2a684
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some insanity for sanity checks (some phonemes from phonemizing japanese are not in my tokenizer...)
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2024-07-22 00:30:40 -05:00 |
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3e5ca3a201
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more demo page tweaks
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2024-07-21 19:31:13 -05:00 |
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e19aa643a6
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cleaned up demo page creation, added option to pass in RVQ level sampling distribution for training
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2024-07-21 19:12:03 -05:00 |
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d87b492295
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added rudimentary demo page creator (currently just embeds base64 wavs into the page, need to test not doing that)
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2024-07-19 20:49:40 -05:00 |
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39f961abcd
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test trainer (vall_e.models.ar_nar) tests some SpeechX features
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2024-07-18 18:46:45 -05:00 |
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f770467eb3
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stuff
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2024-07-01 18:13:29 -05:00 |
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396af541c5
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ugh
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2024-06-30 11:11:58 -05:00 |
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dced595391
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more cleanup
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2024-06-30 11:00:12 -05:00 |
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dd40463803
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limit eval size because the training batch size seems to be used for the eval dataloader, somehow (bandaid)
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2024-06-29 09:11:28 -05:00 |
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934672252b
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feverish cleanup
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2024-06-03 21:28:49 -05:00 |
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7feeb944a0
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probably insane with even entertaining going this route
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2024-06-03 20:26:27 -05:00 |
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458b95d196
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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
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2024-05-19 11:23:56 -05:00 |
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d9aabfa3ae
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final tweaks, hopefully, again
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2024-05-15 23:04:19 -05:00 |
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8d79f78e0a
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god I need to replace omegaconf
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2024-05-12 14:01:52 -05:00 |
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215800484d
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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)
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2024-05-04 23:49:15 -05:00 |
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783db3d2c5
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forgot to commit the DAC test utterance
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2024-05-04 09:46:51 -05:00 |
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6a11bc9cb6
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update tokenizer because, for some reason, it had the wrong order for the special tokens to where eos = unk
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2024-04-29 09:09:26 -05:00 |
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071fb97777
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dataset preparation script updates, caved and am using HF tokenizer now
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2024-04-21 14:49:18 -05:00 |
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2e9e6e68f7
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Forgot I need to use the DAC's 44K model because 24K model has 32 codebooks instead of 9.
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2024-04-17 20:59:25 -05:00 |
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2deb995cc9
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updated setup script
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2023-10-06 20:08:28 -05:00 |
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4abd6564d1
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fixed training stats not loading from exported weights, a bit of a readme cleanup, updated example training yaml
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2023-09-23 19:59:00 -05:00 |
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2d1a9f10c0
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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)
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2023-08-19 15:06:33 -05:00 |
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f7f6d3bf6d
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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'
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2023-08-19 09:50:07 -05:00 |
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8f42c578c9
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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
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2023-08-19 00:16:08 -05:00 |
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508677fcd5
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repaired auraloss loss calc during eval/val
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2023-08-18 21:19:47 -05:00 |
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fb4e816823
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oops
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2023-08-18 21:11:19 -05:00 |
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5fa86182b5
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oops
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2023-08-14 10:50:40 -05:00 |
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d7deaf6def
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distributed training works now (hopefully)
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2023-08-13 22:07:45 -05:00 |
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c85101403f
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big cleanup
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2023-08-03 20:26:36 -05:00 |
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7a06b27a9c
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Tweaks
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2023-08-02 22:06:39 +00:00 |
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d88e43800b
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adjustments
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2023-08-02 22:01:49 +00:00 |
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bf8cedc9dd
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Rewrite init
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2023-08-02 21:53:35 +00:00 |
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