AI Voice Recognition Module — Keyword Wake-Up, Bilingual Speech, 110+ Commands

AI Voice Interaction Module Overview

AI Voice Interaction Module — Keyword Wake-Up | Chinese & English Recognition | Custom Vocabulary/Parameters

• 110+ preset voice interaction commands

• Integrated recognition and playback design

• Custom voice vocabulary support

• 6-meter long-range recognition

• 99% recognition accuracy

• 360-degree omnidirectional pickup

• Echo cancellation & noise reduction fidelity

• Offline recognition

• Environmental noise reduction

Key Features — AI Voice Interaction

• KWS keyword recognition wake-up

• Voice broadcast playback

• Bilingual Chinese & English recognition

• 360-degree omnidirectional microphone

• High-fidelity speaker

• Custom vocabulary & parameters

• Intelligent echo cancellation & noise reduction

• 6m long-range recognition

• High recognition accuracy

• Comprehensive development tutorials included

AI Voice Interaction Module Introduction

The Voice Interaction Module integrates voice recognition and voice playback in a single unit. It features a built-in microphone and speaker, along with a powerful neural network processor that supports convolutional neural network operations and deep learning noise reduction, delivering robust echo cancellation and environmental noise suppression. New command words can be added via software, with recognition accuracy up to 99%. It supports both Chinese and English entries, making AI voice interaction accessible even for beginners!

The voice module features multiple onboard interfaces. Without needing to understand the underlying principles of voice recognition, you can easily generate firmware using the companion software and update it via the Type-C interface. Additionally, the module provides serial and IIC interfaces, supporting voice interaction projects with platforms such as STM32, MSPM0, and Raspberry Pi. We have preloaded 110+ voice interaction command sets and provide detailed user tutorials, firmware modification guides, and programming tools to accelerate project development — making it the ideal choice for embedded voice projects.