Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community.
🚀Improved Hold Music Detection
We have implemented a new heuristic to detect and remove hold music hallucinations. It's already live and you should see music hallucinations reduced in your transcripts! Check it out here.
Stay updated on the latest product updates with our changelog.
LeMUR: Build LLM apps on voice data
LeMUR is the easiest way to code applications that apply LLMs to speech. In just a few lines of code you can search, summarize, ask questions, and generate text across your audio and video data.
Check out the following popular LeMUR cookbooks:
- Real-time Transcription with LeMUR.
- Processing Speaker Labels with LeMUR.
- Creating Chapter Summaries with LeMUR.
- Processing Edited Transcripts with LeMUR.
- Extracting Transcript Quotes with LeMUR.
Fresh From Our Blog
How to integrate spoken audio into LangChain.js using AssemblyAI: Learn how to apply LLMs to spoken audio with AssemblyAI's new integration for LangChain.js, using TypeScript and Node.js. Read more>>
Our Trending YouTube Tutorials
Run LLMs locally - 5 Must-Know Frameworks!: Learn how to run LLMs locally including, Ollama, GPT4All, PrivateGPT, llama.cpp and LangChain.
Convert Hindi Speech to Text (Python Tutorial): Learn how to convert spoken Hindi language into text using Python, using AssemblyAI’s Speech-to-Text library.
Analyze a Conversation with AI for Free on the Playground: Learn to analyze customer calls with AssemblyAI's speech-to-text API.