Strong Noise Reduction Voice Recognition Module Adopting far-field recognition, dual-microphone noise reduction and fixed-frequency noise reduction technologies, it can suppress various interfering sounds outside the command beam in near and far-field environments with noise interference. It can intelligently distinguish environmental noise and recognize human voices, truly achieving high performance, high sensitivity and low false recognition. It is the preferred choice for product applications with high recognition performance requirements or large working environment noise.
Recognition Accuracy
Up to 95% recognition rate in daily noise environments
01
Compact Size
As small as a dime (coin-sized)
02
Self-Learning
Supports user-customizable wake words & commands
03
Fast Integration
Minimal peripheral components required
04
Multi-Command Capacity
Configurable options: 50/150/500 commands
05
Offline Voice Control Solution Development Framework
Module type | Offline speech recognition module |
Model | QLIFE-ASR21BM |
Size (mm) | 28.5*21.5*3mm |
Chip packaging/dimension | QFN68(8*8*0.9mm) |
Packaging compatibility | two stamp ports /2*18Pin/foot spacing 2mm |
Microphone count | 2mic |
Supported languages | Chinese and English |
Number of voice commands | 150 |
Crystal | optional |
Response time (ms) | 50-800ms |
Recognition rate (50dB back noise /5m) | 98% |
Recognition distance | 8m |
Echo cancellation (AEC/AES) | N |
Voice print recognition | N |
Custom wake word | N |
Custom command word | N |
Non-instruction set keyword recognition | N |
Infrared code library | N |
Live prompt | Yes |
Data communication | I2C/3*UART |
Independent PWM channel | 5ch |
Other resources | 3 ADCs |
Speaker output power | 8Ω/1W |
Independent power supply for power amplifier | Supports (3.3V~5V) |
Module power supply specification | 3.3V-5.5V |
Power management | Not supported |
Power consumption (core/power amplifier) | 60~150mA/500mA |
Temperature range | -20~85°C |
Development cycle (days) | 10-15 days |
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