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Yahboom YB-MAE01-V1.0 AI Voice Interaction Module Voice Recognition Module with 5m Recognition Range
Advantages:
* Voice Recognition
* Voice Broadcast
* High-Precision Recognition
* 5m Long-Distance Recognition
* Supports Chinese and English
* High-Performance Microphone
* High-Fidelity Speaker
* Type-C Interface
* I2C Communication
* Serial Communication
* Supports ROS1/ROS2
* Onboard Coprocessor
* Echo Cancellation
* Deep Learning Noise Reduction
* 2MB Storage
* Supports Firmware Modification
* Flashing Tools
* Code Examples
* Detailed Tutorials
* Provides Learning and Communication Platform
Description:
The voice interaction module integrates voice recognition and voice broadcast in one. It not only incorporates a microphone and speaker but also features a powerful built-in neural network processor that supports convolutional neural operations and deep learning noise reduction. It offers robust echo cancellation and environmental noise suppression capabilities. The module supports adding new command words via software, achieving a recognition accuracy of up to 99%, and supports both Chinese and English vocabularies. Even beginners can easily master AI voice interaction!
The voice module comes with multiple onboard interfaces. Without needing deep knowledge of voice recognition principles, users can easily generate firmware through the supporting software and update it via the Type-C interface. Additionally, the module provides serial and I2C interfaces, supporting voice interaction projects with control platforms such as STM32, MSPM0, Raspberry Pi, and others. We have pre-loaded over 110 voice interaction vocabularies and provide detailed usage tutorials, firmware modification guides, and flashing tools to accelerate project development. It is the ideal choice for embedded voice projects.
Features:
AI Voice Interaction Integrated Module
* Built-in Neural Network Processor
* Offline Recognition
* High-Definition Broadcast
* Supports Chinese and English
* Long-Distance Recognition
Intelligent Recognition Makes Operation Simple
* The voice interaction module has built-in 2MB storage, pre-loaded with over 110 sets of voice interaction vocabularies covering various scenarios. It also supports user-defined custom vocabulary configurations to meet personalized application needs.
* Easy to Use: Users issue voice commands, which the voice module recognizes and sends to the mainboard. The mainboard then directly executes the corresponding action and drives the voice module to complete broadcast. The entire process is simple and user-friendly.
* Supports Voice Command Modification: Users can modify the module's recognized commands via voice, efficiently completing wake word changes, volume adjustments, and broadcast content updates.
* Ready-to-Use Extensive Vocabulary: To facilitate user experience, we preset over 110 voice interaction commands covering diverse scenarios, significantly shortening development cycles and helping users achieve efficient project development!
AI Neural Network Model Training
* We provide firmware modification tutorials and flashing tools. Users can customize voice broadcast tone, interaction vocabulary, recognition sensitivity, and other parameters. It supports custom wake-up words and broadcast vocabulary configuration, enabling flexible voice interaction settings to meet personalized user needs.
Integrated Voice Recognition and Broadcast
* The voice interaction module embeds a high-performance microphone and high-fidelity speaker, achieving integrated voice recognition and voice broadcast functions. This simplifies the development process and hardware deployment of AI voice interaction systems, reducing overall R&D costs.
* The high-fidelity speaker delivers clear sound output, accurately reproducing voice details.
* The high-performance microphone incorporates advanced algorithms plus circuit noise reduction, achieving up to 99% recognition rate within a 5-meter range.
High-Precision Voice Recognition
* The voice interaction module uses advanced noise suppression algorithms to effectively filter environmental background noise. It supports far-field user voice pickup within 5 meters. We also designed noise reduction circuitry to ensure precise and efficient voice command control with accuracy reaching 99%.
Multiple Voice Broadcast Modes
* It supports wake-up word recognition to automatically trigger voice broadcast, and also allows active voice broadcast via an external main control program. These two voice broadcast modes can be switched flexibly.
Natural Conversation and Echo Cancellation
* During broadcast, the voice interaction module can interrupt the current broadcast process through a wake-up word or command, enabling the module to respond instantly and broadcast the latest command content. This makes human-machine interaction more lively and natural.
Onboard Microcontroller Coprocessor
* The module's built-in microcontroller coprocessor supports converting voice data into serial or I2C data formats. This greatly simplifies communication with external main control devices.
Type-C Interface and Plug-and-Play
* The voice interaction module integrates a Type-C interface, requiring no driver installation. It can connect to embedded main controllers like Raspberry Pi via USB port, reducing pin usage. Users can also update firmware and customize vocabulary through the Type-C interface.
Supports Serial and I2C Communication
* The module has onboard PH2.0-4Pin serial interface and I2C interface, supporting communication with external controllers via serial or I2C. Users can choose the appropriate communication method based on their project needs.
Preset 110+ Extensive Voice Interaction Vocabulary
* It covers multi-scenario robot voice interactions. The module can be applied to voice-controlled vehicle movement, color recognition, robotic arm actions, robotic arm sorting, and multi-point navigation. These applications require a robot platform; the standalone voice module cannot achieve them alone.
Supports Serial Communication Control
* This facilitates debugging from a PC.
Supports Multiple Mainboards
* It supports Raspberry Pi, JETSON, MSPMO, Ar-duino, STM32, ESP32, and RDK series.
* We provide development materials for Raspberry Pi, JETSON, MSPMO, Ar-duino, STM32, ESP32, etc., making voice interaction easier.
* It also supports multiple robot platforms.
Supports ROS1 and ROS2
* It is fully compatible with ROS1 and ROS2 systems. We provide SDKs for both systems along with related technical support materials.
Rich Development Resources
* Link for Tutorials: http://www.yahboom.net/study/Voice_Module_ASR-TTS
Specifications:
* Chip Model: CI1302
* Product Dimensions: 48.1 × 24.1 × 14.3mm
* Flash Memory: 2MB
* Mounting Method: Fixed using M2.5/M3 screws and brass standoffs through mounting holes
* Communication Methods: IIC communication and serial communication
* Recognition Requirements: Based on predefined phrases, it supports up to 255 phrases or short sentences; recognition entries can be modified via firmware
* Power Supply Voltage: DC 5V
* Product Weight: 10g
* RAM Capacity: 640KB
* Recognition Mode: Command Wake-Up
* Recognition Range: Up to 5 meters in quiet environments; 1 meter in noisy environments
* Indicator Lights: Red LED: Power Indicator; Green LED: Status Indicator
Packing List:
* 1 x Integrated AI Voice Interaction Module
* 1 x PH2.0-4Pin to Dupont Cable (20cm)
* 1 x PH2.0-4Pin Flat Ribbon Cable (20cm)
* 1 x Type-C Communication Cable (100cm)
* 2 x Round-head Screws M3×5mm
* 2 x Single-pass Brass Standoffs M3×6+4mm
Packaging Details:
* Weight: 0.15kg