Voice Command Module

Voice Command Module
Details:
QLIFE-ASR06EM offline voice module for minority languages.
This is a differentiated product developed and customized for specific scenarios and requirements of global minority languages and multilingual voice control. It uses a high-performance AI chip and is equipped with the offline voice recognition algorithm for minority languages of the Institute of Acoustics, Chinese Academy of Sciences. It can support the recognition and development of voice commands in more than 200 minority languages and even regional dialects. It solves the language barrier in human-machine communication and will never let any product be aborted due to language limitations, helping enterprises and products successfully go global.
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Description
Technical Parameters
Product Selling Points

 

Accurate Recognition: The recognition rate is as high as 95% in daily noisy environments.
Minority Languages: Supports customized development of voice commands in more than 200 minority languages.
Fast Response: The fastest local response is within 200ms.

 

Product Performance Parameter Table

 

 

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QLIFE-ASR06EM offline voice module for minority languages.

Number of microphones: Single or double microphones.
Voice recognition method: Offline voice recognition.
Supported languages: Mandarin/English/Japanese/Korean/Other minority languages for customized commands.
Average power consumption: The chip consumes 30mA of power.
Package size: Length × width × thickness 17.8 × 14.5 × 3mm (module).
Rich peripherals: UART × 1, PWM × 8, GPIO × 9 (maximum).
Noise reduction performance: Supports noise reduction function.
Voice recognition rate: 98% (tested within a distance of 10 meters in a 50dB background noise environment).
Number of commands: 300 (with slight deviation according to the length of commands in actual application).
Response speed: Recognition and response can be completed in as fast as 100ms.
Electrical performance: Complies with EMC and FCC standards. The internal enhanced ESD can pass the 4KV contact discharge test.
Material standard: Environmental protection materials comply with ROHS/REACH standards.
For customization of minority languages, customers are required to provide the target minority language voice data collected according to the requirements. We will conduct targeted AI training accordingly to achieve command recognition of the target languages.

 

Hardware Introduction

 

The module is single-sided mounted with pins on two sides. The module supports single microphone input and can be directly connected to the module. Meanwhile, it also supports real-person voice reply and can directly drive the speaker.

 

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06FM design drawing size
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06FM Design Size 2
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0FM design drawing size
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06FM design drawing size
Pin Number Pin Name Functional Description
1 GND GND
2 SPK_MUTE Amplifier MUTE output pin, high level for quiet, low level for working
3 DC5V DC5V module power input
4 VDD_3V3 The module has an internal LDO 3.3V output, which can be used to supply power to small load peripherals
5 GND GND
6 GPIO_06 GPIO/I2S_SDI/I2C_SDA/UART_TX1/PWM0
7 GPIO_07 GPIO/I2S_LRCK/I2C_SCL/UART_RX1/PWM1
8 GPIO_08 GPIO/I2S_SCLK/PDM_DAT/UART_TX2/PWM3
9 GPIO_09 GPIO/I2S_SDO/PWM2,PG_ENBurn enable pin (high level to enter burn), it is recommended to reserve a test point
10 GPIO_10 GPIO/I2S_MCLK/PDM_CLK/UART_RX2/PWM4
11 UART_TX0 GPIO/UART_TX0/I2C_SDA/PWM1(Burning port, it is recommended to keep)
12 UART_RX0 GPIO/UART_RX0/I2C_SCL/PWM2(Burning port, it is recommended to keep)
13 MICR+ MIC input positive pole (choose this MICR as AEC input for echo cancellation)
14 MICR- MIC input negative pole (choose this MICR as AEC input for echo cancellation)
15 MICL+ MIC input positive pole (single MIC and echo cancellation select this MICL as MIC input)

 

Application Areas

 

QLIFE-ASR06FM Applications
 

Smart Home Appliances

Smart Home

Automotive Electronics

Switch

 

Bathroom Heater

Refrigerator

Air Purifier

Smart toilet

 

Clothes drying rack

Range hoods

Smart home control center                       

Air conditioner

 

 

 

 

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