Commit Graph

579 Commits

Author SHA1 Message Date
mrq
0656a762af fix vall_e.emb.transcriber 2024-10-08 19:24:43 -05:00
mrq
acdce66d4e readme tweaks, set the (unused) default model download URL back to the base ar+nar-llama-8 model, as ar+nar-tts+stt-llama-8 was renamed back to it since it performs well 2024-10-05 22:53:53 -05:00
mrq
84c7419001 faster 2024-10-04 22:30:47 -05:00
mrq
a507b769a1 sped up inferencing by not doing .tolist() for rep pen / length pen (and a bug fix in the web UI from prev commit) 2024-10-04 22:18:20 -05:00
mrq
4a8e3ccf06 README tweaks, added --input-prompt-prefix as an experiment (its literally better to just not do this, but i'll retain it in case i have a revelation on how to improve it) 2024-10-04 18:57:19 -05:00
mrq
a9fa0898a9 tweaked demo page script to sample speakers instead 2024-09-28 10:50:26 -05:00
mrq
2f1dca3089 added language selection in web UI, tweaked demo script 2024-09-28 09:49:45 -05:00
mrq
10df2ef5f3 fixed oversight where input audio does not resample (lol...) 2024-09-27 20:27:53 -05:00
mrq
039482a48e don't do eval on stt because it's so slow and I don't even bother doing any metrics against it anyways (to-do: make this a flag) 2024-09-26 18:56:57 -05:00
mrq
ff7a1b4163 coerce into path for other sampler_types (it's required for sampling for similar utterances) 2024-09-26 18:37:56 -05:00
mrq
f24547ad4e add top_k sampling / offset for prompt similar utterance sampling 2024-09-26 16:26:40 -05:00
mrq
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
mrq
e84d466261 vall_e.plot tweaks 2024-09-24 20:05:10 -05:00
mrq
2266d34818 oops 2024-09-21 16:06:01 -05:00
mrq
c5e9142863 added option to retokenize phonemes for hdf5 (to save having to remake my hdf5 file) 2024-09-21 13:08:01 -05:00
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