SIFT-50M: A Game Changer for Speech-Text Models
SIFT-50M is a massive 50 million-example dataset designed to fine-tune speech-text models. Built from 14,000 hours of speech, it covers 5 languages and combines speech understanding with controllable speech generation. With 5 million instruction-based QA pairs, it expands the possibilities for building smarter, more accurate models. Think of it as a speech coach for AI, helping it get better at listening and responding.