Commit Graph

1766 Commits

Author SHA1 Message Date
James Betker
51ce1b5007 Add conditioning clips features to grand_conjoined 2021-12-29 14:44:32 -07:00
James Betker
b12f47b36d Add some noise to voice_voice_clip 2021-12-29 13:56:30 -07:00
James Betker
c6ef0eef0b asdf 2021-12-29 10:07:39 -07:00
James Betker
53784ec806 grand conjoined dataset: support collating 2021-12-29 09:44:37 -07:00
James Betker
8a02ba5935 Transit s2s clips back to CPU memory after processing 2021-12-29 08:54:07 -07:00
James Betker
af6d5cd526 Add resume into speech-speech 2021-12-29 08:50:49 -07:00
James Betker
0e4bcc33ab Additional debugging 2021-12-29 00:23:27 -07:00
James Betker
b24a51f0aa Check in speech2speech CLIP inference tool 2021-12-29 00:19:44 -07:00
James Betker
c1bef01dfa GptAsrHf2 checkin 2021-12-28 20:48:38 -07:00
James Betker
07c2b9907c Add voice2voice clip model 2021-12-28 16:18:12 -07:00
James Betker
a9ee5b624f Simplify and conform gpt_asr_hf2 2021-12-28 11:54:33 -07:00
James Betker
a5b4bee719 Improve asr_eval 2021-12-28 11:45:15 -07:00
James Betker
312f631c5b gpt_asr_hf2: remove dual positional embeddings 2021-12-28 10:57:45 -07:00
James Betker
93624fa4b2 Don't use tqdm in ranks!=0 2021-12-28 10:06:54 -07:00
James Betker
a12042ea99 Allow multi-embeddings to be disabled 2021-12-28 09:00:53 -07:00
James Betker
4a32949b0e update inference mode for unified 2021-12-26 15:33:21 -07:00
James Betker
a698d3f525 unified_voice: introduce paired embeddings 2021-12-26 15:33:05 -07:00
James Betker
6996dfd9d5 asr_hf2: add independent position embedders 2021-12-26 15:17:24 -07:00
James Betker
5b5cbc057c Work checkpoint for gpt asr hf2 2021-12-26 10:29:12 -07:00
James Betker
cd89e6b42e Initialize our embeddings the same way GPT-2 initializes theirs. 2021-12-26 00:20:30 -07:00
James Betker
8d01f7685c Get rid of absolute positional embeddings in unifiedvoice 2021-12-26 00:10:24 -07:00
James Betker
6700f8851d moar verbosity 2021-12-25 23:23:21 -07:00
James Betker
8acf3b3097 Better dimensional asserting 2021-12-25 23:18:25 -07:00
James Betker
e959541494 Add position embeddings back into unified_voice
I think this may be the solution behind the days problems.
2021-12-25 23:10:56 -07:00
James Betker
64cb4a92db Support adamw_zero 2021-12-25 21:32:01 -07:00
James Betker
776a7abfcc Support torch DDP _set_static_graph 2021-12-25 21:20:06 -07:00
James Betker
746392f35c Fix DS 2021-12-25 15:28:59 -07:00
James Betker
736c2626ee build in character tokenizer 2021-12-25 15:21:01 -07:00
James Betker
b595c62893 One way decoder for decoding from mel codes 2021-12-25 12:18:00 -07:00
James Betker
ab9cafa572 Make tokenization configs more configurable 2021-12-25 12:17:50 -07:00
James Betker
52410fd9d9 256-bpe tokenizer 2021-12-25 08:52:08 -07:00
James Betker
8e26400ce2 Add inference for unified gpt 2021-12-24 13:27:06 -07:00
James Betker
ead2a74bf0 Add debug_failures flag 2021-12-23 16:12:16 -07:00
James Betker
9677f7084c dataset mod 2021-12-23 15:21:30 -07:00
James Betker
8b19c37409 UnifiedGptVoice! 2021-12-23 15:20:26 -07:00
James Betker
5bc9772cb0 grand: support validation mode 2021-12-23 15:03:20 -07:00
James Betker
e55d949855 GrandConjoinedDataset 2021-12-23 14:32:33 -07:00
James Betker
b9de8a8eda More fixes 2021-12-22 19:21:29 -07:00
James Betker
191e0130ee Another fix 2021-12-22 18:30:50 -07:00
James Betker
6c6daa5795 Build a bigger, better tokenizer 2021-12-22 17:46:18 -07:00
James Betker
c737632eae Train and use a bespoke tokenizer 2021-12-22 15:06:14 -07:00
James Betker
66bc60aeff Re-add start_text_token 2021-12-22 14:10:35 -07:00
James Betker
a9629f7022 Try out using the GPT tokenizer rather than nv_tacotron
This results in a significant compression of the text domain, I'm curious what the
effect on speech quality will be.
2021-12-22 14:03:18 -07:00
James Betker
ced81a760b restore nv_tacotron 2021-12-22 13:48:53 -07:00
James Betker
7bf4f9f580 duplicate nvtacotron 2021-12-22 13:48:30 -07:00
James Betker
7ae7d423af VoiceCLIP model 2021-12-22 13:44:11 -07:00
James Betker
09f7f3e615 Remove obsolete lucidrains DALLE stuff, re-create it in a dedicated folder 2021-12-22 13:44:02 -07:00
James Betker
a42b94ab72 gpt_tts_hf inference fixes 2021-12-22 13:22:15 -07:00
James Betker
48e3ee9a5b Shuffle conditioning inputs along the positional axis to reduce fitting on prosody and other positional information
The mels should still retain some short-range positional information the model can use
for tone and frequencies, for example.
2021-12-20 19:05:56 -07:00
James Betker
53858b2055 Fix gpt_tts_hf inference 2021-12-20 17:45:26 -07:00