Kyutai’s STT Now Open-Sourced - Streaming Speech-to-Text Model - Install and Test
AI Summary
This video introduces the QTI ST speech-to-text model, part of the unmute project by Cute, which was recently open-sourced. The presenter recommends watching a previous detailed video on the unmute model and highlights the new speech-to-text component, demonstrating its installation and usage via a free Google Colab notebook. The QTI ST model is a streaming speech-to-text transformer model designed for real-time transcription using Moshi’s multistream design, with two versions available differing in parameters and latency. The video walks through setting up the Google Colab environment, installing necessary packages like Moshi, running transcription on sample audio files in English and English-French with impressive accuracy, and presents a data class that manages the inference pipeline including audio encoding, tokenization, and language model generation. The presenter mentions plans for another video demonstrating embedding the model into a real-time pipeline. The tutorial highlights the advanced semantic voice activity detection feature that improves local assistant experience by allowing natural pauses in speech. The video also includes a sponsor message from Matrix, a marketing simulation platform. Viewers are encouraged to subscribe and share the channel for more AI model insights.