New releases, model updates, awards, events, and more.
LeMUR is our new framework for applying powerful LLMs to transcribed speech. With a single line of code, LeMUR can quickly process audio transcripts for up to 10 hours worth of audio content, which effectively translates into ~150k tokens, for tasks likes summarization and question answer.
We’ve trained a Conformer speech recognition model on 650K hours of audio data. The new model, Conformer-1, approaches human-level performance for speech recognition, reaching a new state-of-the-art on real-world audio data.
The end of 2022 is quickly approaching, and what a year it has been! As we get closer to 2023, we wanted to take a moment to look back and reflect on some of the highlights of the past year.
Last weekend, we hosted the AssemblyAI $50k AI Winter Hackathon - our first-ever hackathon. Check out the winning projects and learn more about the event below!
Today, we’re excited to release our most accurate Speech Recognition model to date - version 9 (v9). This updated model delivers increased performance across many metrics on a wide range of audio types.