Commit Graph

614 Commits

Author SHA1 Message Date
mrq
536c11c4ac actually validated and fixed sampling similar utterances for the prompt (hopefully nothing else is needed) 2024-09-21 12:59:51 -05:00
mrq
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
mrq
769f67dcfe actually fix validation of phonemes in the symmap 2024-09-21 12:19:34 -05:00
mrq
c8d4716a9f ugh 2024-09-18 21:40:57 -05:00
mrq
fe241f6a99 support for wildcard in training/validation/noise dataset array (to-do: a better way to query between metadata folder and data folder) 2024-09-18 21:34:43 -05:00
mrq
b5bec0c9ce oops, turns out these are not split by speaker names already........ (also added sampling the dataset in the webui for easy viewing) 2024-09-18 20:19:46 -05:00
mrq
fa9d3f6c06 lang fixes / reworked phoneme symmap validation 2024-09-18 19:36:03 -05:00
mrq
84647f588a more tweaks 2024-09-18 16:43:57 -05:00
mrq
ebac1db16c maybe final tweaks, I really needed to unify my json read/write and orjson is proven to be fast enough for me to try and rely on it more 2024-09-17 22:57:04 -05:00
mrq
6ceed866b5 *faster* 2024-09-17 22:44:36 -05:00
mrq
f00283440c faster 2024-09-17 22:26:31 -05:00
mrq
be22b65300 solved my problem 2024-09-17 21:58:44 -05:00
mrq
8f41d1b324 more tweaks 2024-09-17 16:26:30 -05:00
mrq
804ddb5182 optimizations (6 hours to do cosine similarities on a speaker set of just 17k utterances................) 2024-09-17 15:51:45 -05:00
mrq
a9fbe81f98 oops 2024-09-17 15:25:12 -05:00
mrq
c440c4fe7e relegated processing similarity data into vall_e.emb.similarity since it's easier, seems to work? 2024-09-17 14:37:21 -05:00
mrq
56f25f7a9b more stuff for similar-speaker prompt sampling (to-do: actually test if this works...) 2024-09-16 23:10:29 -05:00
mrq
69f140ba45 fix oversight with phonemizing french because espeak defines french as fr-fr instead of fr (even though spain spanish is es and not es-sp or some shit, but portugal portuguese is pt-pt) 2024-09-13 12:53:36 -05:00
mrq
4f3c7a37c8 also do text similarities (dont know what use I'll have for this) 2024-09-10 16:45:59 -05:00
mrq
1c615a0f52 helper script (vall_e.emb.similar) to figure out the best way to compute similarity scores for audio (iunno how to go about it desu) 2024-09-10 16:34:23 -05:00
mrq
17487ad70a weird quirk in process_emilia.py where language gets mutated, somehow (I hate python) 2024-09-10 14:00:27 -05:00
mrq
d059f6f56d added helper script to process Emilia (amphion/Emilia-Dataset), clean up espeak phonemes for non-English transcriptions with English words (because for some reason espeak injects (en){word}(lang) markers and it's annoying) 2024-09-09 09:57:32 -05:00
mrq
31e8b7edb8 tweaks and fixes for lora stuffs 2024-09-08 18:05:21 -05:00
mrq
54203c059d validated rep pen for STT (sometimes needed to wrangle the model) 2024-09-08 08:30:30 -05:00
mrq
6a967f91b9 oops 2024-09-07 22:13:49 -05:00
mrq
5d66a7db52 webui cleanup, more tweaks, default to safetensors in config 2024-09-07 21:45:05 -05:00
mrq
a6ad0577b8 cleanup the resultant text from STT 2024-09-06 18:44:25 -05:00
mrq
fa93061b3e more fixes, moved sampler state dict to a better place, eval works again 2024-09-06 16:59:56 -05:00
mrq
4bd9bb39c8 webui for STT (still need to bake the model to handle it better, a few hours so far has it generate what looks like a normal transcription but does not correlate to the audio right now) 2024-09-06 15:13:04 -05:00
mrq
d33a906119 cleanup for AR_NAR inferencing to allow both TTS and STT tasks simultaneously (need to have training eval do this to though) 2024-09-06 14:30:12 -05:00
mrq
341e19162b fixes, again 2024-09-06 11:41:41 -05:00
mrq
94cf81d38c tweak 2024-09-05 23:21:18 -05:00
mrq
413097f5f7 fixes 2024-09-05 21:42:59 -05:00
mrq
54547b74d8 experimental implementation of STT (need to actually test on a model, test trainer seems to work) 2024-09-05 20:43:20 -05:00
mrq
d319d33368 haha 2024-09-04 14:52:26 -05:00
mrq
619369236b ugh 2024-08-30 21:10:57 -05:00
mrq
168e203942 ugh 2024-08-30 14:39:07 -05:00
mrq
685f4faec0 ugh 2024-08-30 10:46:26 -05:00
mrq
32287710a2 moved prints to use logger, edited readme (fused_attn doesnt seem stable for training) 2024-08-29 13:27:16 -05:00
mrq
d423bc03c2 fixed attentions for MoE 2024-08-27 17:02:42 -05:00
mrq
b7b99a25f1 added ability to specify attention backend for CLI and webui (because im tired of editing the yaml) 2024-08-26 19:33:51 -05:00
mrq
0d706ec6a1 added fused_attn (triton-based fused attention) and simply just query for flash_attn under rocm 2024-08-26 19:13:34 -05:00
mrq
6b0891448c pain (some shit to try and get some flash attention for ROCm (gfx1100) through triton fused attention but no good) 2024-08-25 20:07:27 -05:00
mrq
40e1799adc fixed xformers and flash_attn to actually work now 2024-08-19 01:03:35 -05:00
mrq
29c35528e5 the sooner I accept there's no FA for V100s the sooner I'll go to bed 2024-08-18 23:54:33 -05:00
mrq
d636edd3a2 added flash_attn LlamaAttention (including flash_attn==1.0.9) 2024-08-18 20:51:14 -05:00
mrq
054d28573a my DAC dataset again managed to only have some utterances with only 8 of 9 RVQ levels, this fixes an oversight from it 2024-08-09 21:18:01 -05:00
mrq
2a1794c084 ughghghhhh 2024-08-09 21:15:01 -05:00
mrq
ed373957e2 maybe not 2024-08-09 11:38:08 -05:00
mrq
c658a7b440 make loss scaling opt-in rather than automatically determined (because it seems a DAC-based model really doesnt like loss scaling) 2024-08-09 10:51:36 -05:00