mARTin-B78
295de3059d
- 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>
43 lines
635 B
Plaintext
43 lines
635 B
Plaintext
# Upstream faster-qwen3-tts repo (tracked separately)
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build/
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# Personal voice recordings — keep only reference transcripts
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config/speakers/*.wav
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config/speakers/*.mp3
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# Private speakers — entire subtree
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config/speakers/privat/
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# Generated at container startup from speakers/
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config/voices.json
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config/voices.json*
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# Converted private audio (M4A → WAV, generated at runtime)
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config/converted/
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# Editor backup files
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*.py~
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*.yml~
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*.yaml~
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*~
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# Claude Code settings
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.claude/
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config/.claude/
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# Random generated files in project root
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json
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os
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*.txt
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# Python
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__pycache__/
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*.pyc
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*.pyo
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.venv/
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venv/
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# Environment files
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.env
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.env.*
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