Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community.
⚡️AssemblyAI Java SDK: Latest Release
We've updated our Java SDK with improved real-time transcription controls, new content safety features, and an additional LLM, Claude 2.1 to LeMUR. Here's what the release contains:
- Improved Real-time transcription controls: Utilize the new forceEndUtterance and configureEndUtteranceSilenceThreshold methods to customize the silence threshold for automatic utterance detection and programmatically force the end of an utterance, giving you precise control over when your real-time stream produces a final transcript.
- New Content Safety Features: Adjust the ContentSafetyConfidence parameter to set the confidence threshold for flagging inappropriate content.
- Anthropic Claude 2.1 Model Added: Use Anthropic's Claude 2.1 model with LeMUR in your applications to build LLM apps on spoken data. Explore our LeMUR docs to learn more.
Fresh From Our Blog
AI trends in 2024: Graph Neural Networks: From fundamental research to productionized AI models, discover how Graph Neural Networks are used in powering production applications. Read more>>
Detect scam calls using Go with LeMUR and Twilio: Learn how to detect scam attempts in phone calls, using LeMUR. Read more>>
Transcribe Phone Calls in Real-Time using Node.js with AssemblyAI, and Twilio: Develop an application that transcribes a Twilio phone call to text in real-time. Read more on Twilio's blog.
Our Trending YouTube Tutorials
Transcribe a live phone call with Python - Flask tutorial: Build a Flask application in Python to transcribe phone calls in real time with AssemblyAI, Twilio, and ngrok.
How to Index Podcasts with Keywords like on Huberman's Website: Learn to build an application that indexes podcast episodes based on keywords using Speech-to-Text.
Live Speech-to-Text With Google Docs Using LLMs (Python Tutorial): Discover how to implement real-time speech-to-text transcription in Google Docs using AssemblyAI's Speech-to-text API and large language models (LLMs) all in Python.
