AssemblyAI Unveils Streaming Speech-to-Text and Latest Tutorials

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AssemblyAI Unveils Streaming Speech-to-Text and Latest Tutorials

AssemblyAI has announced its latest product feature, Streaming Speech-to-Text (STT), designed to transcribe live audio streams with high accuracy and low latency. By streaming audio data to AssemblyAI's secure API, users can receive transcripts back within a few hundred milliseconds, according to AssemblyAI.

Feature Spotlight: Streaming Speech-to-Text

The Streaming Speech-to-Text feature allows developers to transcribe live audio streams efficiently. This technology is particularly useful in various real-time applications, including medical transcription, voice bot integrations, and AI-powered voice assistants for customer support and call centers.

Applications Built with AssemblyAI's Technology

Several innovative applications have been developed using AssemblyAI's Streaming Speech-to-Text:

Real-Time Medical Transcription Analysis: This application highlights crucial medical information such as anatomy, medication, and medical history in real-time using AssemblyAI's LeMUR.
Voice Bot Integration with Meta's Llama 3: This integration transcribes user audio in real-time and uses Meta's Llama 3 for generating intelligent responses, alongside ElevenLabs for text-to-speech.
Voice Assistants for Call Centers: This Python-based AI voice assistant can handle incoming calls, transcribe speech, generate responses, and provide a human-like conversational experience.

Latest Tutorials and Guides

AssemblyAI has also released new tutorials to help developers leverage their technologies:

Hotword Detection with Streaming Speech-to-Text and Go: This tutorial explains how to respond to hotwords in voice data using Streaming Speech-to-Text in Go.
Detect Scam Calls Using Go with LeMUR and Twilio: Learn how to detect scam attempts in phone calls using AssemblyAI's LeMUR.
Build an AI-powered Video Conferencing App with Next.js and Stream: Develop a video conferencing app that supports live transcriptions and an LLM-powered meeting assistant.