|
32287710a2
|
moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)
|
2024-08-29 13:27:16 -05:00 |
|
|
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 |
|
|
79a6781c9e
|
fix vall_e.data --action=hdf5 actually transcribing because past me completely forgot it tried to already put the transcribe/process dataset scripts inside the module before
|
2024-08-08 07:51:42 -05:00 |
|
|
613024ec0d
|
ugh
|
2024-08-06 20:35:15 -05:00 |
|
|
eac353cd0b
|
busy work and cleanup while I wait for 1TB of audio to quantize... again.
|
2024-08-06 20:23:33 -05:00 |
|
|
f284c7ea9c
|
do mixed-precision for AMP inside the compress function itself, because the loudness function gripes when using a float16 (non-power of 2 lengths) or bfloat16 (something about views for bfloat16)
|
2024-08-06 15:08:37 -05:00 |
|
|
b6ba2cc8e7
|
tweaked vall_e.emb.process to instead process audio one file at a time instead of all the files for a given speaker to avoid OOMing on less-memory-filled systems with --low-memory
|
2024-08-06 14:24:40 -05:00 |
|
|
9710b06b74
|
tweaks and things
|
2024-08-06 08:17:25 -05:00 |
|
|
134dac8c2b
|
re-adapted process_libritts.py to a 'better' way (better because it processed without needing to shuffle a bunch of things and adapt to cope or something)
|
2024-08-05 20:34:58 -05:00 |
|
|
3f73fcca29
|
oops
|
2024-08-05 20:12:13 -05:00 |
|
|
597441e48b
|
moved transcribe and process dataset scripts to vall_e/emb within the module itself, argparse-ified transcription script
|
2024-08-05 19:40:50 -05:00 |
|
|
75b04686f8
|
added prom-less training / inferencing, some other things
|
2024-07-22 19:36:07 -05:00 |
|
|
491ae2a684
|
some insanity for sanity checks (some phonemes from phonemizing japanese are not in my tokenizer...)
|
2024-07-22 00:30:40 -05:00 |
|
|
ad024f400f
|
actually pass language into dataset process script, fix coercing japanese into hiragana because espeak does not like kanji
|
2024-07-21 23:21:37 -05:00 |
|
|
28a674e0f1
|
fixes...
|
2024-07-18 23:25:32 -05:00 |
|
|
bccbb77a1a
|
added option to either naively concat codes to concat audio waveforms (prior behavior) or to decode => concat => encode instead (although this only currently happens for prom sampling if an utternace is too small)
|
2024-07-18 16:48:41 -05:00 |
|
|
7b210d9738
|
sanity cleanup
|
2024-07-04 15:58:08 -05:00 |
|
|
1ecf2793f4
|
(commented-out) support for facebookresearch/AudioDec, but support really didn't wow me (so I commented it out until I figure out why my output audio is super crusty with AudioDec)
|
2024-07-04 15:40:51 -05:00 |
|
|
b21f74a5c5
|
added summing of external embeddings (at this point i dont think any amount of cope bandaids will get DAC to train nicely, I think the RVQ levels the NAR tends add too much noise if they're not accurate)
|
2024-06-29 23:42:30 -05:00 |
|
|
793ccb16fb
|
ugh
|
2024-06-29 22:14:35 -05:00 |
|
|
2808f881c8
|
cleaned up subjugated audio embedding into a flag, flag can also have it include the original, underlying embedding as well (it seems to do better when set to inclusive)
|
2024-06-29 21:46:35 -05:00 |
|
|
ec5eaebcbc
|
experimental method of using DACs quantizer ""embeddings"" to see if it helps with model quality
|
2024-06-29 19:46:11 -05:00 |
|
|
234f9efc6e
|
ugh
|
2024-06-09 11:39:43 -05:00 |
|
|
ddbacde0d1
|
DAC just doesn't work well enough......
|
2024-05-25 11:07:52 -05:00 |
|
|
74e531d391
|
ugh
|
2024-05-18 12:02:56 -05:00 |
|
|
5eb5db7f7f
|
just don't use DAC 24Khz, it's bad
|
2024-05-12 13:41:17 -05:00 |
|
|
230da8b559
|
should be the final things to scramble around for, DAC's 24KHz model is unusable for this, but both encodec's 24KHz and DAC's 44KHz work
|
2024-05-12 13:22:08 -05:00 |
|
|
2437a86efa
|
ugh
|
2024-05-12 13:02:15 -05:00 |
|
|
4f1593c8db
|
a bunch of shit to salvage my old encodec-quantized audio because dac-encoded audio just does not want to converge
|
2024-05-12 10:17:29 -05:00 |
|
|
14709ac67f
|
ughh
|
2024-05-12 07:30:59 -05:00 |
|
|
c4b696ebeb
|
oops
|
2024-05-09 22:33:40 -05:00 |
|
|
0d5d545a40
|
crammed in DAdaptation (doesn't seem worth it) and ScheduleFree (forgot I wanted to weeks ago, seems promising), optimization wrapper cleanup, test trainer changes, etc.
|
2024-05-09 20:28:20 -05:00 |
|
|
c6e0f905b5
|
final tweaks (again) before training restarts
|
2024-05-08 02:11:38 -05:00 |
|
|
215800484d
|
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)
|
2024-05-04 23:49:15 -05:00 |
|
|
9f738fbd5b
|
seems I actually don't need RVQ bins 9-32 with the 24Khz DAC model........ (time to requantize my audio...)
|
2024-05-04 23:09:18 -05:00 |
|
|
a8ffa88844
|
it slipped my mind that technically DAC can be used at any sample rate, since it models waveforms; make it a config YAML option to allow this behavior
|
2024-04-19 18:36:54 -05:00 |
|
|
8214aa23d7
|
converting over to a different intermediary dataset format
|
2024-04-18 21:24:06 -05:00 |
|
|
4f5c9e518a
|
actually use the passed-through sample rate from encode for DAC because it does its own resampling I guess
|
2024-04-18 13:32:41 -05:00 |
|
|
2e9e6e68f7
|
Forgot I need to use the DAC's 44K model because 24K model has 32 codebooks instead of 9.
|
2024-04-17 20:59:25 -05:00 |
|
|
5ff2b4aab5
|
finally swallowing the Descript-Audio-Codec pill (I guess I'm going to have to regenerate my entire dataset)
|
2024-04-17 20:39:35 -05:00 |
|
|
545162195b
|
deprecate sole AR/NAR model by only keeping the AR+NAR (the beauty of no one using this is that I can break compat as much as I want), add tone token for when I classify my dataset with tone/emotion in the future, some other things
|
2024-04-15 19:54:32 -05:00 |
|
|
09cda7d3f9
|
added sampling by speaker group name (might be better to de-emphasize the LibriVox/Audiobooks that are in large numbers, and emphasize the smaller pools), log cleanup
|
2023-10-16 19:30:38 -05:00 |
|
|
2bc2d08b09
|
(need to verify) added modifying model size and config bool to align with VALL-E continuous' methodology
|
2023-09-01 17:19:34 -05:00 |
|
|
78378ed1ce
|
overhauled dataloading code to be marginally faster, mostly cleaned up, and can leverage a metadata json to help things out
|
2023-08-26 19:53:23 -05:00 |
|
|
22904a8639
|
more oversights fixed because I've been using a cached dataloader forever now and didn't catch these problems
|
2023-08-24 10:25:33 -05:00 |
|
|
4585824cd3
|
tweaks, including exporting on save/quit
|
2023-08-23 16:43:03 -05:00 |
|
|
7b1b82e0e5
|
inferencing cleanup
|
2023-08-20 21:36:02 -05:00 |
|
|
2d1a9f10c0
|
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)
|
2023-08-19 15:06:33 -05:00 |
|
|
77292c42f9
|
tested the training preparation for tasks ns, sr, and tse (I don't expect it to go well with only 2 RVQ bins)
|
2023-08-18 23:55:40 -05:00 |
|
|
bbb0563b3d
|
pseudocode polyfill stub some other flavor of working on adding the tasks
|
2023-08-18 22:22:13 -05:00 |
|