
Online Voice recognition modules require a reliable internet connection to generate responses and are not independent of the Microcontroller/Processor controlling them. While one can create an offline voice recognition module using a compatible processor like RaspberryPi, and train a custom neural network to do this, it is not feasible for battery-operated edge devices
This Grove-Offline Voice Recognition Module is a truly offline voice recognition module with 45 pre-programmed voice commands, which can be communicated through UART. It features connections for the speaker and microphone, along with indicator LEDs. The power supply to the module is ESD-protected, adding more safety to the module. It is a perfect low-cost solution for adding voice control to your IoT projects!
Specification | Details |
Size | 40*20*10mm |
Operating Temperature | -40°C~85°C |
Storage | -40°C~125°C, <90%RH |
Power supply range | Supply voltage 3.6V-5V, supply current >500mA |
Supported interfaces | UART/I2C/PWM/SPI/GPIO |
Serial Rate | Default 115200 bps |
SPI Flash | 2MB (internal) |
| HSCODE | 9031809090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 9013101000 |
| COO | CHINA |
Offline Voice Recognition Module | x1 |
Speaker | x1 |
Grove Cable | x1 |
This is a low-power pure-offline voice recognition module with less than 100ms identification time and 150 pre-programmed commands. It uses the US516P6 voice chip with a 32-bit RSIC architecture core, DSP instruction set, and FPU arithmetic unit. Ideal for various smart devices like smart home appliances, toys, and lamps that require voice control.This product is a co-create collaboration with Seeed Studio.