Commit Graph

1441 Commits

Author SHA1 Message Date
James Betker
7fef7fb9ff Update fast_paired_dataset to report how many audio files it is actually using 2022-01-20 21:49:38 -07:00
James Betker
ed35cfe393 Update inference scripts 2022-01-20 11:28:50 -07:00
James Betker
20312211e0 Fix bug in code alignment 2022-01-20 11:28:12 -07:00
James Betker
8e2439f50d Decrease resolution requirements to 2048 2022-01-20 11:27:49 -07:00
James Betker
4af8525dc3 Adjust diffusion vocoder to allow training individual levels 2022-01-19 13:37:59 -07:00
James Betker
ac13bfefe8 use_diffuse_tts 2022-01-19 00:35:24 -07:00
James Betker
bcd8cc51e1 Enable collated data for diffusion purposes 2022-01-19 00:35:08 -07:00
James Betker
dc9cd8c206 Update use_gpt_tts to be usable with unified_voice2 2022-01-18 21:14:17 -07:00
James Betker
7b4544b83a Add an experimental unet_diffusion_tts to perform experiments on 2022-01-18 08:38:24 -07:00
James Betker
b6190e96b2 fast_paired 2022-01-17 15:46:02 -07:00
James Betker
1d30d79e34 De-specify fast-paired-dataset 2022-01-16 21:20:00 -07:00
James Betker
2b36ca5f8e Revert paired back 2022-01-16 21:10:46 -07:00
James Betker
ad3e7df086 Split the fast random into its own new dataset 2022-01-16 21:10:11 -07:00
James Betker
7331862755 Updated paired to randomly index data, offsetting memory costs and speeding up initialization 2022-01-16 21:09:22 -07:00
James Betker
37e4e737b5 a few fixes 2022-01-16 15:17:17 -07:00
James Betker
35db5ebf41 paired_voice_audio_dataset - aligned codes support 2022-01-15 17:38:26 -07:00
James Betker
3f177cd2b3 requirements 2022-01-15 17:28:59 -07:00
James Betker
b398ecca01 wer fix 2022-01-15 17:28:17 -07:00
James Betker
9100e7fa9b Add a diffusion network that takes aligned text instead of MELs 2022-01-15 17:28:02 -07:00
James Betker
87c83e4957 update wer script 2022-01-13 17:08:49 -07:00
James Betker
009a1e8404 Add a new diffusion_vocoder that should be trainable faster
This new one has a "cheating" top layer, that does not feed down into the unet encoder,
but does consume the outputs of the unet. This cheater only operates on half of the input,
while the rest of the unet operates on the full input. This limits the dimensionality of this last
layer, on the assumption that these last layers consume by far the most computation and memory,
but do not require the full input context.

Losses are only computed on half of the aggregate input.
2022-01-11 17:26:07 -07:00
James Betker
d4e27ccf62 misc updates 2022-01-11 16:25:40 -07:00
James Betker
91f28580e2 fix unified_voice 2022-01-10 16:17:31 -07:00
James Betker
136744dc1d Fixes 2022-01-10 14:32:04 -07:00
James Betker
ee3dfac2ae unified_voice2: decouple positional embeddings and token embeddings from underlying gpt model 2022-01-10 08:14:41 -07:00
James Betker
f503d8d96b Partially implement performers in transformer_builders 2022-01-09 22:35:03 -07:00
James Betker
ec456b6733 Revert unified_voice back to beginning
I'll be doing my work within unified_voice2
2022-01-09 22:34:30 -07:00
James Betker
432073c5ca Make performer code functional 2022-01-09 22:32:50 -07:00
James Betker
f474a7ac65 unified_voice2 2022-01-09 22:32:34 -07:00
James Betker
c075fe72e2 import performer repo 2022-01-09 22:10:07 -07:00
James Betker
7de3874f15 Make dalle transformer checkpointable 2022-01-09 19:14:35 -07:00
James Betker
70b17da193 Alter unified_voice to use extensible transformer (still WIP) 2022-01-08 22:18:25 -07:00
James Betker
15d9517e26 Allow bi-directional clipping 2022-01-08 22:18:04 -07:00
James Betker
894d245062 More zero_grad fixes 2022-01-08 20:31:19 -07:00
James Betker
8bade38180 Add generic CLIP model based off of x_clip 2022-01-08 19:08:01 -07:00
James Betker
2a9a25e6e7 Fix likely defective nan grad recovery 2022-01-08 18:24:58 -07:00
James Betker
438dd9ed33 fix text-voice-clip bug 2022-01-08 08:55:00 -07:00
James Betker
34774f9948 unified_voice: begin decoupling from HF GPT
I'd like to try some different (newer) transformer variants. The way to get
there is softly decoupling the transformer portion of this architecture
from GPT. This actually should be fairly easy.
2022-01-07 22:51:24 -07:00
James Betker
1f6a5310b8 More fixes to use_gpt_tts 2022-01-07 22:30:55 -07:00
James Betker
68090ac3e9 Finish up the text->voice clip model 2022-01-07 22:28:45 -07:00
James Betker
65ffe38fce misc 2022-01-06 22:16:17 -07:00
James Betker
6706591d3d Fix dataset 2022-01-06 15:24:37 -07:00
James Betker
f4484fd155 Add "dataset_debugger" support
This allows the datasets themselves compile statistics and report them
via tensorboard and wandb.
2022-01-06 12:38:20 -07:00
James Betker
f3cab45658 Revise audio datasets to include interesting statistics in batch
Stats include:
- How many indices were skipped to retrieve a given index
- Whether or not a conditioning input was actually the file itself
2022-01-06 11:15:16 -07:00
James Betker
06c1093090 Remove collating from paired_voice_audio_dataset
This will now be done at the model level, which is more efficient
2022-01-06 10:29:39 -07:00
James Betker
e7a705fe6e Make gpt_asr_hf2 more efficient at inference 2022-01-06 10:27:10 -07:00
James Betker
5e1d1da2e9 Clean paired_voice 2022-01-06 10:26:53 -07:00
James Betker
525addffab Unified: automatically clip inputs according to specified max length to improve inference time 2022-01-06 10:13:45 -07:00
James Betker
61cd351b71 update unified 2022-01-06 09:48:11 -07:00
James Betker
10fd1110be Fix (?) use_gpt_tts for unified_voice 2022-01-05 20:09:31 -07:00