- Add run_customvoice_server.py: OpenAI-compatible TTS server for Qwen3-TTS
CustomVoice models with speaker-based voice selection and per-request
language/instruct/max_new_tokens overrides
- Add customvoice_voices.json: voice config for 9 built-in speakers across
English, Chinese, Japanese, and Korean
- Add benchmark_api.py: API benchmarking tool reporting TTFA, total time,
RTF, and speed multiplier across short/medium/long sentences
- Refactor run_voicedesign_server.py: extract _request_generation_params()
helper, add per-request language/instruct/max_new_tokens override support,
and wire DEFAULT_MAX_NEW_TOKENS to --max-seq-len arg
- Add faster-qwen3-tts.code-workspace for VS Code project config
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- generate_voices.py: scan /config/speakers and /voices recursively,
support .ogg and .m4a (M4A auto-converted via ffmpeg), sanitise voice IDs
- auto_transcribe.py: scan both host paths recursively, support all formats,
use parakeet-asr on port 8010
- docker-compose.yml: mount /home/sparky/Projekte/TTS_Voices/speakers as
/voices, add faster-qwen3-tts-voicedesign service on port 8021
- run_voicedesign_server.py: OpenAI-compatible server for VoiceDesign model
- voicedesign_voices.json: 8 British/German VoiceDesign voices
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
