Whisper news
Every Whisper story as it breaks — clustered from 311 sources, ranked by importance, updated every 10 minutes.
I wanted to ask questions about a podcast's back catalogue with an LLM. The obvious route is to download every MP3, run it through Whisper or a paid speech-to-text API, and then chunk the output. That works, but it is slow, it costs money per audio minute, and you end up with a machine transcript o…
Lead source: DEV Community — AI
- Building a Portuguese (PT-BR) Audio & Video Transcription Pipeline with Whisper Large-v3, Pyannote Speaker Diarization, and MCP — DEV Community — AI
- Whisper typed its own prompt into my document — DEV Community — Machine Learning
- Accurate Audio Transcription API in Python and Node.js Game SaaS — Reliability — DEV Community — AI
- Whisper transcribes silence as "Thanks for watching!", so we wrote a function that calls it silence — DEV Community — AI
- Running ffmpeg, Whisper and background removal in the browser: lessons learned — DEV Community — Machine Learning