HLK-V20 is the latest high-performance pure offline speech recognition module for a large number of pure offline control scenarios and products. The module uses a 32bit RSIC architecture core, and adds a DSP instruction set specifically for signal processing and speech recognition, an FPU arithmetic unit that supports floating-point operations, and an FFT accelerator. The audio signal is trained and learned through the neural network to improve the voice signal Recognition ability. The solution supports offline recognition of 150 local commands, can freely customize wake-up words, command words and response broadcast words, and has a wealth of peripheral interfaces. Add a relay to the bottom plate to control high-power electrical appliances. RoboticsBD

Applications:

1. Applied to smart homes
2. Various smart small appliances
3. 86 boxes
4. Toys
5. Lamps
6. Industrial
7. Products that require voice control
8. Internet of Things
9. Automobiles
10. Security
11. Lighting

Overview:

1. The speech recognizer synthesizer has 32bit RISC core, operating frequency 240M, and it supports DSP instruction set and FPU floating point arithmetic unit
2. This speech recognition asr board supports up to 1024 points complex FFT IFFT calculation or 2048 points real FFT IFFT calculation.
3. The recordable button sound module is very suitable for adding sound effects to models, photo frames and displays. And it is also very suitable for making gifts, cards and handicrafts for your own speech

Features :

1. Processing kernel:
   
   1. 32bit RISC core, running frequency 240M 
   2. Support DSP instruction set and FPU floating point arithmetic unit 
   3. FFT accelerator: supports up to 1024 points of complex FFT/IFFT operations or 2048 points of real FFT/IFFT operations Calculate 
   4. Customized speech algorithm operator
2. Storage:
   
   1. Built-in high-speed SRAM 
   2. Built-in 2MB FLASH
3. Audio input and output:
   
   1. Support 1 analog Mic input 
   2. Support dual channel DAC output 
   3. Support I2S input/output

How to Use:

The demo firmware supports voice wake‑up words: Xiaoke Xiaoke, Xiaoling Xiaoling, Hello Lamp, Xiaohai Xiaohai.

1. Use the USB data cable to supply power to the test board, and connect external speakers and microphones.
2. After the module wakes up, use the order word "turn on the air conditioner", the bottom D4 will light up, corresponding to the B7 pin on the module, use the order word "turn off the air conditioner", and the D4 light will go out. 
3. Use the order word "turn on the light", the bottom plate D3 will light up, corresponding to the B6 pin on the module, use the order word "turn off the light", and the D3 light will go out. 
4. Use the order word "Turn on the switch", the bottom plate D2 will light up, corresponding to the B2 pin on the module, use the order word "Turn off the switch", and the D2 light will go out. 
5. Only the above 3 pins are active in the factory demo firmware, and none of the other pins are active.

More Documentation:

This module also has a relay. Customers can connect pin B2 to RELAY (relay control pin), or B6 to RELAY, or B7 to RELAY through the short-circuit cap.

In the picture, the shorting cap is connected to B6 and RELAY, because the command word "turn on the light" can directly control the switch of the relay without the wake-up word "Xiaoling Xiaoling". If the short cap jumps on B2 and B7, you need to wake up first and then control.

It should be noted that the LED lights D2, D3, and D4 are 3.3v and 5v respectively. The voltage difference will cause the light to be slightly bright, and it can be used normally without affecting the function.

Package Includes:

1 x HLK-V20 Speech Recognition Module Human Speech Voice Control Module

What is the price of HLK-V20 Speech Recognition Module Human Speech Voice Control Module in Bangladesh?

The latest price of HLK-V20 Speech Recognition Module Human Speech Voice Control Module in Bangladesh is BDT 1,550 You can buy the HLK-V20 Speech Recognition Module Human Speech Voice Control Module at best price from our RoboticsBD or visit RoboticsBD Office.