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* feat(skills): add bundled neutts optional skill Add NeuTTS optional skill with CLI scaffold, bootstrap helper, and sample voice profile. Also fixes skills_hub.py to handle binary assets (WAV files) during skill installation. Changes: - optional-skills/mlops/models/neutts/ — skill + CLI scaffold - tools/skills_hub.py — binary asset support (read_bytes, write_bytes) - tests/tools/test_skills_hub.py — regression tests for binary assets * feat(tts): add NeuTTS as local TTS provider backend Add NeuTTS as a fourth TTS provider option alongside Edge, ElevenLabs, and OpenAI. NeuTTS runs fully on-device via neutts_cli — no API key needed. Provider behavior: - Explicit: set tts.provider to 'neutts' in config.yaml - Fallback: when Edge TTS is unavailable and neutts_cli is installed, automatically falls back to NeuTTS instead of failing - check_tts_requirements() now includes NeuTTS in availability checks NeuTTS outputs WAV natively. For Telegram voice bubbles, ffmpeg converts to Opus (same pattern as Edge TTS). Changes: - tools/tts_tool.py — _generate_neutts(), _check_neutts_available(), provider dispatch, fallback logic, Opus conversion - hermes_cli/config.py — tts.neutts config defaults --------- Co-authored-by: unmodeled-tyler <unmodeled.tyler@proton.me>
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So I just tried Neuphonic and I’m genuinely impressed. It's super responsive, it sounds clean, supports voice cloning, and the agent feature is fun to play with too. Highly recommend it for podcasts, conversations, or even just messing around with voiceovers.
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