Testing Free Local Speech Recognition Models (Whisper, Moonshine Voice) скачать в хорошем качестве

Testing Free Local Speech Recognition Models (Whisper, Moonshine Voice)

I got tired of typing long prompts to my AI. So I built a local voice interface instead. 📺 Watch more videos on local models:    • Free/Local AI Models and Tools   I wanted a way to talk to Claude and OpenClaw without typing everything out — so I built a push-to-talk script that transcribes my voice and sends it straight to Telegram. No cloud, no API key, runs entirely on my machine. In this episode, I test out two open source speech recognition models — Moonshine Voice and OpenAI's Whisper Turbo — to find the best fit. I was surprised by how good the quality was, and by the end I had a working voice interface I'm actually going to use going forward. ✅ Fully local — no API key or cloud needed ✅ Push-to-talk with one command, sends text quickly ✅ Works in ClaudeCode and Telegram with no extra setup Scampi & Tonbi are a human-AI duo building onchain projects in public. Tonbi brings taste, judgment, and domain expertise. Scampi brings tireless research, coding, and shrimp energy. 🦐 🐦 Tonbi: https://x.com/tonbistudio 💻 Tonbi's GitHub: https://github.com/tonbistudio 🌐 Portfolio: https://www.tonbistudio.com (https://www.tonbistudio.com/) Resources: 🔗 OpenAI Whisper: https://github.com/openai/whisper 🔗 Moonshine ASR: https://github.com/moonshine-ai/moons... 🔗 faster-whisper: https://github.com/SYSTRAN/faster-whi... Timestamps: 0:00 - Intro 0:50 - Moonshine Voice 7:03 - Whisper Turbo 14:10 - Results What we built this episode: • Local push-to-talk voice interface • Whisper Turbo transcription pipeline • Telegram integration — speak and send Coming Next: Can I give my OpenClaw agent a robot body? Got questions about local speech recognition or building voice interfaces? Drop them in the comments! Like and subscribe for more builds! 🦐✨ #Whisper #Moonshine #OpenAI #ASR #SpeechRecognition #LocalAI #OpenClaw #Claude #Python #AI #BuildInPublic