Streaming-Asr

Visit Tool

streaming-asr is an AI Agents & Automation tool that provides a lightweight client-server system for real-time audio processing. It features voice activity detection (VAD) and automatic speech recognition (ASR) for instant speech transcription.

Claim this tool

4Views

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is streaming-asr?

streaming-asr offers a lightweight client-server system designed for real-time audio processing, integrating voice activity detection (VAD) and automatic speech recognition (ASR). This project demonstrates a complete pipeline, from browser-based audio recording using the Web Audio API to efficient WebSocket communication for low-latency audio transmission. The server-side VAD detects speech segments, reducing unnecessary processing, while the integrated ASR provides real-time transcription. It's built with a technology stack including React for the frontend, Node.js for the WebSocket server, and webrtcvad and SenseVoiceSmall for VAD and ASR respectively. This system is ideal for developers looking to implement real-time speech-to-text functionalities in their applications.

Best used for

Ideal for developers and engineers who need to build real-time speech processing applications, integrate voice activity detection, and provide automatic speech recognition. Especially valuable for creating interactive voice interfaces or transcription services with low latency.

Common actions

process audio in real-time

detect voice activity

transcribe speech automatically

stream audio data

automated workflowopen-sourcedeepfakeworkflowscollaborationlow-code/no-code"AI Agents"face swappinggithub copilot

Capabilities

Key features

Browser audio capture
Real-time audio streaming
Voice activity detection
Automatic speech recognition
Client-server architecture

Target Audience

developersai engineersfrontend developersbackend developers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What technologies are used in streaming-asr?

streaming-asr utilizes a modern technology stack including React for the browser client, Node.js for the WebSocket server, and Python for the ASR engine. Specifically, it employs Web Audio API for audio capture, WebSockets for real-time communication, webrtcvad for voice activity detection, and SenseVoiceSmall for automatic speech recognition.

Is streaming-asr suitable for production environments?

The project is presented as a demonstration. While functional, the developers recommend considering additional optimizations for scalability, security, and reliability if you plan to use it in a production environment. It serves as an excellent starting point for building robust real-time audio processing systems.

How does streaming-asr handle real-time audio processing?

streaming-asr uses WebSockets for efficient, low-latency audio transmission between the browser client and the server. The server then applies Voice Activity Detection (VAD) to identify speech segments, followed by Automatic Speech Recognition (ASR) to transcribe the detected speech in real-time, providing immediate results.

Trending

Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI

Trending

Also listed in

This tool also appears in

Content & Design › Audio & Music Customer Support & CX › Voice & Call Center

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce