Voice Recognition Module V3
Voice Recognition Module V3
Product features
Product features
Offline Hardware Speech Recognition: Features an onboard speech recognition processor capable of storing up to 80 voice commands with up to 7 commands active simultaneously.
Compact Electret Gooseneck Microphone Included: Includes a high-sensitivity 3.5mm external gooseneck microphone for clear vocal command capture and easy directional positioning.
Dual Serial UART & GPIO Trigger Interface: Communicates directly with host microcontrollers via standard TTL UART or drives digital output pins directly upon command recognition.
Speaker-Dependent Programmable Voice Keys: Supports customized voice training across any language or accent, offering versatile command customization for local hardware triggers.
Standard 5V Microcontroller Compatibility: Operates on standard 5.0V logic levels, enabling effortless integration with Arduino, ESP32, and Raspberry Pi platforms.
Materials and care
Materials and care
Housing & Board Material: High-grade FR-4 glass-epoxy PCB with gold-plated contact headers, standard 3.5mm audio jack, onboard microcontroller IC, and flexible gooseneck microphone.
Technical Specifications:
Operating Voltage: 4.5V - 5.5V DC.
Digital Interface: TTL UART (9600 baud default) + GPIO Digital Output.
Audio Input: 3.5 mm Audio Jack with Included Electret Microphone.
Color: Red PCB with Black 3.5mm Audio Jack and Silver/Black Microphone.
Usage Advice: Supply 5V DC to VCC/GND; connect TX/RX to your microcontroller's serial bus and load the voice recognition library to train custom spoken command strings.
Maintenance: Ensure the 3.5mm audio jack is fully seated; keep circuit boards free from dust, debris, and static charges.
Merchandising tips
Merchandising tips
Essential Offline Speech Controller: Position as a top-grade speech recognition module for offline voice-activated smart home appliances, voice-controlled robotics, access control systems, and automated lighting switches.
Highlight Plug-and-Play Voice Training: Emphasize how local speaker-dependent training provides high accuracy and zero network latency without depending on Wi-Fi or cloud-based speech API services.
Recommended Cross-Sell Add-ons: Pair with ACEBOTT Voice Recognition Module V2.0 Broadcast Easy-Plug ESP32/Arduino, ACEBOTT MP3 Voice Broadcast Module with 128MB SD Card Easy-Plug Compatible with ESP32/Arduino, Microphone Sound Sensor Module, and ESD antistatic mat 50x40CM PCB Welding Mat.
Featured Collection Star: Display prominently on your Sound Sensor Modules collection page as your high-capacity offline voice recognition breakout module.
Couldn't load pickup availability
Share
