AssemblyAI

Announcing Universal-2, our next-generation speech-to-text model! Building on Universal-1's industry-leading performance, we've made significant improvements in just 6 months, focusing on areas that matter most for real-world conversations: - 24% better at handling proper nouns - 21% improvement in alphanumeric accuracy - 15% enhanced text formatting - Maintains 30% reduction in hallucinations versus other speech-to-text models like Whisper - 73% of users prefer Universal-2 outputs compared to Universal-1 What makes Universal-2 special isn't just better accuracy - it's solving the hardest challenges in conversational AI. From handling messy real-world speech to accurately capturing proper nouns, phone numbers, and formatting, Universal-2 delivers transcripts that are both accurate and clean. Universal-2 is available today through our API. Start building on Universal-2 today: https://lnkd.in/ex2QU_SP

When working with audio recordings that feature multiple speakers, separating and identifying each participant is a crucial step in producing accurate and organized transcriptions. In this detailed tutorial, Patrick Löber teaches you how Multichannel transcription and Speaker Diarization work, what their outputs look like, when to use each feature, and how you can implement them.

Learn how our best-in-class Speech-to-Text model Universal-2 is solving problems in Conversational Intelligence by optimizing Speech-to-Text for real-world use cases.

“It's very important not to just think about the technology first because you want to solve the problem and then figure out what technology can enable it. A lot of times going back to what you can show in a demo with these AI products is really incredible, but what you're not able to do is translate that into a real product at scale.” Listen as Fireflies.ai co-founder and CEO Krish Ramineni discusses how the problem has to come first—and technology second—when thinking about solving problems for users in our latest episode of Assembly Required.

Are Large Language Models (LLMs) just advanced versions of autocomplete? In this YouTube video, we dive deep into how LLMs like ChatGPT, Claude, and Gemini actually choose the next word when generating text. https://lnkd.in/erbfr4dG

Last week, we hosted an awesome Hackathon in NYC! Developers and AI enthusiasts of all levels gathered for a day of building with AssemblyAI and connecting with each other. 🏆 We’re excited to highlight the winning project: Dealty by Slavik Kaushan and Mario Uribe. Slavik and Mario are developers, entrepreneurs, and AI enthusiasts who used AssemblyAI’s streaming speech-to-text and entity detection models to build a Speech AI tool for real estate investment deals. 🥈 The runner-up project was Muse by Arjun S, Ritvij Saxena, and Siddharth P. -  a mental health journaling assistant that the AssemblyAI team agreed we’d buy in the app store immediately. 👏 Finally, we gave a special shoutout to project Say What by Stuart Allen, Nikki Hu, Kirk Enbysk, and Peter Shrieve-Don. They built an AssemblyAI-powered guessing game that turns audio clips into transcriptions for interactive learning. Shoutout to our judging panel: Christy Roach, Peter McKee, and Smitha Kolan! And major thanks to the rest of the AssemblyAI team in attendance, helping run the show: Whitney DeGraaf, Amanda DiNoto, Alberto Santos, Dylan D., Patrick Löber, and Amber J Maillard. Interested in connecting with developers? - Join our Discord: https://lnkd.in/eCFHfYss - Sign up for our newsletter: https://lnkd.in/eReCb87e Thank you to everyone who came out for this event. We can’t wait for the next one!

Voice content moderation with AI: everything you need to know, including: - What is voice content moderation? - The struggles of traditional voice content moderation - AI-powered voice content moderation - How to use AssemblyAI for voice content moderation

💡 New tutorial on our blog! If you're using Zoom, you may know that it allows you to record each participant's audio track separately. In this tutorial, we teach you how to combine this with AssemblyAI's multichannel transcription to generate accurate meeting transcripts.

💥 A new AssemblyAI Required video is here! 💥 Watch as Fireflies.ai co-founder and CEO Krish Ramineni shares his insights gained while building a hugely popular AI-first startup with our CEO and founder Dylan Fox. Key takeways include: 1️⃣ Sometimes you have to bet on your convictions about where the market is going 2️⃣ Partnering with best-in-class AI providers lets you serve your customers better and faster, and accelerates revenue growth 3️⃣ The problem has to come first—and technology second—when thinking about solving problems for users Watch their full conversation here: https://lnkd.in/ejVdXtzp

In a world where data is a crucial asset for training AI models, we've seen first hand at AssemblyAI how properly managing this vital resource is essential in making progress toward our goal of democratizing state-of-the-art Speech AI. Click the link below to learn how Ahmed Etefy, our Tech Lead of Data Infrastructure and team built our AI data Lakehouse. Their method allows for rapid research iteration while maintaining cohesive, secure, and deduplicated datasets. 💪 https://lnkd.in/e6-x9bTG