Differentiated products developed and customized for specific scenarios and requirements of global minority and multilingual voice control adopt high-performance AI chips and are equipped with offline voice recognition algorithms for minority languages from the Institute of Acoustics,Chinese Academy of Sciences. Our Multilingual Voice Recognition Module can support the development of voice command recognition for over 200 minority languages and even regional dialects, enabling accurate and responsive interaction without relying on cloud connectivity. By integrating the Multilingual Voice Recognition Module into smart devices, manufacturers can overcome language communication barriers between humans and machines, ensuring smooth operation for users worldwide. This technology ensures that no product fails due to language restrictions, helping enterprises and products successfully go global. Whether used in smart home appliances, loT systems, industrial equipment, or consumer electronics, our solution provides a reliable, scalable, and cost-effective path to multilingual voice control implementation.
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-ASRO6DM |
| Size (mm) | 17.8*14.5*3mm |
| Chip packaging/dimension | TSSOP24(8.6*6*1.65mm) |
| Packaging compatibility | two stamp ports /2*9Pin/foot spacing 2mm |
| Microphone count | 1mic/2mic (analog, digital) |
| Supported languages | Chinese/Japanese/English |
| Number of voice commands | 300 |
| Crystal | optional |
| Response time (ms) | 100-500ms |
| Recognition rate (50dB back noise /5m) | 98% |
| Recognition distance | 10m |
| Echo cancellation (AEC/AES) | supported (single speaker + pin echo) |
| Voice print recognition | supported |
| Custom wake word | Supported |
| Custom command words | supported |
| Non-instruction set keyword recognition | supported |
| Infrared code library | integrated |
| Live prompt | Yes |
| Data communication | I2C/2*UART |
| Independent PWM channel | 4ch |
| Other resources | 1 ADC, built-in RC crystal, support PDM digital microphone, IO3.3V/5V optional, voice enhancement, voice orientation |
| Speaker output power | 8Ω/1W |
| Independent power supply for the power amplifier | not independent power supply |
| Module power supply specification | 3.3V-5.5V |
| Power management | Not supported |
| Power consumption (core/power amplifier) | 23~45mA/350mA |
| Temperature range | -40~85°C |
| Development cycle (days) | 10-15 days |
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