- Adds the missing pitch argument when calling `run_rvc()`. Previously this was failing when RVC was enabled and TTS was generated using the OpenAI compatible API interface.
AllTalk MEM (Multi Engine Manager) is a research tool designed to manage and test multiple instances of different Text-to-Speech (TTS) engines being loaded simultaneously, with a view to a centralised engine being able to handle multiple requests simultaneously. AllTalk MEM is currently in a demonstration, testing, and experimental phase.
⚠️ MEM is not intended for production use at this time and there is NO support being offered on MEM. ⚠️
Attempt to resolve suspicion that some OS/Language character sets may be using a comma for decimal separation, rather than a period e.g. `10,0` vs `10.0`
This could be affecting the repetition penalty setting with XTTS when called from a command line/terminal request where the period `.` isnt being specifed.
Can call /api/openai-voicemap with
curl -X PUT "http://localhost:7851/api/openai-voicemap" -H "Content-Type: application/json" -d "{\"alloy\":\"female_01.wav\",\"echo\":\"female_01.wav\",\"fable\":\"female_01.wav\",\"nova\":\"female_01.wav\",\"onyx\":\"male_01.wav\",\"shimmer\":\"male_02.wav\"}"
Caveats:
- You have to update all the voices in one go, not just one voice.
- Its up to you to ensure you have the correct voices for the TTS engine that's loaded in which you can find currently available on /api/voices
- The in-memory mappings will update, but Gradio will have cached what was originally in the settings, so it wont display the changes in the Gradio interface without a restart of AllTalk/Gradio
TTS Generator - Various interface bugs & filtering options cleaned up.
TTS Generator - TTSDiff now scans generated text and TTS for errors.
TTS Generator - TTSSRT now creates subtitle files for video production e.g. a Youtube video.
Finetune - Now uses a customised tokenizer to deal with Japanese.
Finetune - Pre flight check and warning messages.
Finetune - Extra documentation and warnings.
Entire file structure has been re-organised to simplify management and future changes.
Documentation (built in and Github) has been rewritten/tidied up.
Requirements files have been cleaned up and simplified.
ATsetup has been re-written as necessary with additional options.
DeepSpeed moved up to version 14.
Standalone Application moved to PyTorch 2.2.1.
Nvidia CUDA Toolkit installation is NO LONGER needed (other than to compile DeepSpeed on Linux)
Tested on Linux and Windows.
erew123