mirror of
https://github.com/storytold/storyteller-ml.git
synced 2026-10-09 00:09:55 +00:00
readme/notes
This commit is contained in:
@@ -1,3 +1,4 @@
|
||||
*.pyc
|
||||
*.swo
|
||||
*.swp
|
||||
*secret*sh
|
||||
@@ -13,3 +14,10 @@ production_database_secret_query.sh
|
||||
secrets.toml
|
||||
secrets.yaml
|
||||
target/
|
||||
|
||||
# Models for testing
|
||||
future-todo/ControllableTalkNet/models
|
||||
tts/hifigan/hifisr
|
||||
|
||||
# Other garbage to prune/remove
|
||||
tts/hifigan/LJSpeech-1.1/
|
||||
|
||||
@@ -1,6 +1,40 @@
|
||||
tts-core
|
||||
========
|
||||
|
||||
The core TTS models that power FakeYou.
|
||||
|
||||
I'm in the progress of pulling these out of the service monorepo so we can iterate faster.
|
||||
|
||||
TODO
|
||||
----
|
||||
|
||||
Core cleanup
|
||||
|
||||
- [ ] Cleanup Tacotron code
|
||||
- [ ] Integrate WaveGlow and HifiGan more cleanly
|
||||
- [ ] Define the HTTP server interface
|
||||
- [ ] Define the model checking interface
|
||||
- [ ] Clean up in-memory LRU caching
|
||||
- [ ] There are two copies of Nemo. Why? Clean this up.
|
||||
- [ ] Deployability
|
||||
- [ ] Clean up requirements.txt and upgrade packages
|
||||
- [ ] Clean up Dockerfile
|
||||
|
||||
Make the models sound better
|
||||
|
||||
- [ ] Arpabet
|
||||
- [ ] G2P
|
||||
- [ ] Arpabet custom dictionary
|
||||
- [ ] User-supplied Arpabet strings in braces
|
||||
|
||||
- [ ] Word break down 888 -> eight hundred eighty eight
|
||||
|
||||
- [ ] Support I18N
|
||||
- [ ] Accent character support
|
||||
|
||||
Introduce new models
|
||||
|
||||
- [ ] TalkNet
|
||||
- [ ] GlowTTS + MelGan (vocoder)
|
||||
- [ ] Make these work under the same venv
|
||||
|
||||
Lots more I haven't covered yet...
|
||||
|
||||
@@ -0,0 +1,9 @@
|
||||
TalkNet
|
||||
=======
|
||||
TalkNet is not currently in a usable state. Ideally we can have both Tacotron and
|
||||
Talknet models operate at the same time from the same uniform codebase.
|
||||
|
||||
The reason we want them to work together is so that we can leverage the same GPU
|
||||
resources and use LRU in-memory caching.
|
||||
|
||||
This copy of TalkNet was taken from a public MIT-licensed repo and notebook (TODO: link)
|
||||
Reference in New Issue
Block a user