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70a0f5724b
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i hate learning APIs so much
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2024-12-21 19:40:19 -06:00 |
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1b4a69ce29
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more updates to vall_e.cpp
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2024-12-21 19:16:44 -06:00 |
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503124d0d3
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crammed encodec.cpp in
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2024-12-21 15:48:12 -06:00 |
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979c1f797c
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quant
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2024-12-21 11:56:22 -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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91caf00212
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ugh
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2024-12-20 17:13:37 -06:00 |
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d85273609e
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corrected export.py's --hf
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2024-12-20 15:17:13 -06:00 |
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59bf6b8b33
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exposed additional task (ns, sr, vc) (vc is experimental)
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2024-12-20 11:15:29 -06:00 |
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53230efd74
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changed prompt_inject_noise to prompt_inject_noise_p so I can have another reason to do this post-training
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2024-12-19 19:28:50 -06:00 |
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e7e7f48043
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livid
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2024-12-19 19:25:27 -06:00 |
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8838babcba
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sanity checks (and I realized that the model actually had langs set to 4 in the yaml for KO/ZH so................
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2024-12-19 19:08:57 -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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4775edaa41
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added text cleaning/normalization for wer purposes but it amounts to nothing desu
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2024-12-18 19:58:53 -06:00 |
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9f2bd7f6e4
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ugh
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2024-12-17 23:17:12 -06:00 |
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9090c34f10
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cringe script to process seed-tts-eval's eval dataset into something i can easily use
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2024-12-17 22:47:12 -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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7129582303
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actually do proper wer/cer calculation by un-normalizing the scores
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2024-12-17 14:22:30 -06:00 |
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c2c6d912ac
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actually do speaker verification
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2024-12-17 10:11:14 -06:00 |
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c2e17e287b
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really shoddy voice conversion implementation (it sort of works...)
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2024-12-16 22:54:53 -06:00 |
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8515038968
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imagine my disappointment when the epoch finished just for it to throw an exception
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2024-12-16 18:28:01 -06:00 |
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4a65ac9eb7
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oops
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2024-12-15 17:21:51 -06:00 |
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cd4a5f427c
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KO/ZH model soon
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2024-12-15 17:01:14 -06:00 |
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4800e7179a
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remove nan checks because it causes problems in distributed training because I'm not syncing between GPUs (and nan losses gets ignored anyways with loss scaling)
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2024-12-15 09:42:54 -06:00 |
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2ba6b483dc
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ugh
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2024-12-14 22:43:51 -06:00 |
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3dd31e74d1
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finally figured out a clean way to handle "resuming" the tqdm bar
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2024-12-14 18:44:43 -06:00 |
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35389481ee
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move lazy-stored ortho matrix to the grad device for apollo because agony
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2024-12-13 23:22:26 -06:00 |
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09804ecc16
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APOLLO tweaks to make it work with deepspeed
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2024-12-13 23:03:52 -06:00 |
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64c67160a3
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tweaks
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2024-12-13 19:00:35 -06:00 |
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0fbfb8bbe8
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actually save the optimizer for the local engine backend because safetensors doesn't save it
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2024-12-12 17:12:59 -06:00 |
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f41251f648
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more fixes for local engine backend
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2024-12-12 14:38:42 -06:00 |
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6b237ae5e3
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tweaks for the local engine orchestrator (that I never caught since I always used the deepspeed backend)
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2024-12-12 13:37:38 -06:00 |
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9a62e3b824
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APOLLO cringe (doesn't want to work with deepspeed)
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2024-12-12 00:31:58 -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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20b87bfbd0
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store metrics and only recalculate them if the output file is newer than the metrics file
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2024-12-11 20:55:43 -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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7e54e897f7
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also shifted to transformer's pipeline for transcribing
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2024-12-11 19:57:53 -06:00 |
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b81a98799b
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uplifting transformer's WavLM stuff to do speaker verification instead
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2024-12-11 19:30:05 -06:00 |
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6468e5d124
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lol
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2024-12-11 19:10:32 -06:00 |
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6f1ee0c6fa
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Added CER, transcription/similarity model args in demo
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2024-12-10 21:00:51 -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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fc5e6d8599
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fixes to process_emilia.py script
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2024-12-09 14:38:09 -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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3ef8894290
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oops
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2024-12-08 15:24:21 -06:00 |
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1d460b9fe3
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logic fixes, I feel like output is better? (also NAR can have a temperature, I imagine it couldn't because it was having a causal masked passed to it for the longest time before I caught it a month ago)
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2024-12-08 14:52:47 -06:00 |
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0c5a458b00
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deduce language per line to allow for a cheap way to allow for cross-lingual switching, kinda
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2024-12-07 22:57:29 -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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5d80a2d0d4
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fixed NAR-len issues with non-english maybe (langs weren't being passed), added interface to inference in batches through tts.batched_inference (no support for rolling context/prefixes because there's no way to do that), demo page uses batched inferencing now
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2024-12-07 19:21:05 -06:00 |
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1f54bf5b40
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revert sageattn back to optional dependency because it's not on windows, force resize_modules on by default because I broke something
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2024-12-07 17:09:39 -06:00 |
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218d0e29fd
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ugh (batchmean actually expects batch=seq_len, and not the actual batch)
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2024-12-07 12:39:01 -06:00 |
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61ed662856
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ACTUALLY actually fix KD-loss (the -inf in the logits was caused by cringecode)
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2024-12-07 12:31:54 -06:00 |
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