/ Whispering into the Future: Reinventing Speech-to-Text Transcriptions with Go and Whisper

Description

You have to build the transcriptions feature as good as Google and Zoom, but we don't have a similar budget". We faced and solved that challenge with hundreds of coffee cups and incredible hair loss; our solution is cost-effective, open-source, and fits within our Go stack. Whisper.cpp is a lightweight implementation of Open AI’s Whisper speech-to-text model with Go bindings. A lot of emerging startups and existing companies leverages this solution. What will the audience learn in this workshop: 1) First 10 minutes: Go bindings, CGo, why Whisper.cpp? 2) 90 minutes: we will build a CLI that transcribes audio files and save the data to a database 3) 20 minutes: Q&A, errors, bugs etc You can find all the details about the workshop in this repo: https://github.com/timpratim/Speech-To-Text-guide/blob/6-db-layer/README.md The repo will keep updating with more information about the workshop until 4th of July.

Workshop 💻 Intermediate ⭐⭐ Track: Native Languages (Rust, Go lang, C++, C#, .Net, ...)