Esp-Sr

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esp-sr is an open-source speech recognition framework designed to help users build AI speech solutions. It provides modules for audio processing, wake word detection, voice activity detection, and speech command recognition.

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At a glance

Pricing

free

Free tier

Yes

API

—

Skill level

Technical

About

What is esp-sr?

esp-sr is an open-source speech recognition framework that enables the development of AI speech solutions. It offers a comprehensive set of modules, including an Audio Front-end (AFE) for processing audio input, a Wake Word Engine (WakeNet) for detecting specific wake words, a VAD (VADNet) for voice activity detection, and a Speech Command Word Recognition (MultiNet) module for recognizing speech commands. This framework is ideal for developers and engineers looking to integrate speech recognition capabilities into their applications and systems.

Best used for

Building custom AI speech recognition solutions and integrating speech capabilities into various applications.

Common actions

Build speech solutions

Integrate speech recognition

Process audio

Detect wake words

Recognize speech commands

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Capabilities

Key features

Open-source framework
Audio Front-end (AFE)
Wake Word Engine (WakeNet)
VAD (VADNet)
Speech Command Recognition

Target Audience

DevelopersAI EngineersSystem Integrators

Integrations

Not yet documented

Pricing & Plans

free

Free

FAQs

What hardware is esp-sr optimized for, given it's an open-source framework?

esp-sr is primarily optimized for Espressif's ESP32 series of microcontrollers, leveraging their capabilities for efficient on-device speech processing. It's designed to run effectively on these embedded platforms.

Can I customize the wake words or speech commands recognized by esp-sr?

Yes, esp-sr allows for customization. You can train your own wake words using WakeNet and define custom speech commands for MultiNet, making it adaptable to specific application requirements.

What are the typical memory and processing requirements for running esp-sr on an embedded device?

The requirements vary based on the specific modules used and model complexity. However, esp-sr is designed to be lightweight, making it suitable for resource-constrained ESP32 devices, often requiring only a few hundred KB of RAM.

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