I made my Own Customize VC-02 Offline Voice Recognition Module | #vc02module #pcb #pcbdesign #diy

Video Description

VC-02 Kit Offline AI Voice Recognition Module Hello! Everyone, Welcome to Aviyan's Thoughts, In this video I've described about How did I make my own custom VC-02 Offline AI Voice Recognition Module from the very basic level. So, you will learn very easily. Please watch the full video step by step and I hope you will enjoy it. About VC-02 Kit Offline Voice Recognition Module : VC series module is a low-cost pure offline speech recognition module developed by Shenzhen Ai-Thinker Technology Co., Ltd. The module uses the voice chip US516P6 launched by Unisound. It features high reliability and versatility. Highly reliable wake-up recognition rates, more distant wake-up, more low-incorrect wokens, more low-erroneous wake-up rates, more low-than-off, faster response identification time, secreted pure line identification. The VC Series module adopt a 32bit RISC architectural kernel and has joined the DSP instruction set required for signal processing and speech recognition, support floating point operations, and FFT accelerators. Supports up to 150 local instructions offline identification, support RTOS lightweight systems, as well as simple and friendly customary tools. The VC Series module has a rich peripheral interface, including UART / I2C / PWM / SPI, and simple&friendly secondary development tools for customers to implement a single-mode group speech control application scenario scheme. Features : * Support bilingual control, both Chinese and English * Single MIC Access * Support AEC echo elimination, steady-state noise reduction * Support to wake up from learning, no need to compile firmware * Comprehensive recognition rate can reach more than 98% * Identification time is less than 100ms * Extremely low error rate * Entry corpus up to 150 Kernel Introduction : * Integrated 32bit RISC kernel, frequency up to 240MHz * Support for DSP instruction sets and FPU floating point arithmetic units * FFT Accelerator: Maximum Support 1024 points FFT / IFFT operation, or 2048 points FFT / IFFT operation * Unisound Equation Customized Logo Algorithm * Built-in 242KB high speed SRAM * 8kb ROM for boot * Built-in 2MB SPI Flash * Support 1 road simulation MIC input, SNR ≥ 94dB * Support for dual channel DAC output * Built-in 5V to 3.3V, 3.3V 1.2V LDO is power supply for chip * Provide complete RTOS-based SDK ----------------------------------------------------------------------------------------------------------------------- Ai-Thinker Website Link : http://en.ai-thinker.com/ Other Playlists: 1 : https://youtube.com/playlist?list=PL_7JPE1TPWtUN3FbmfSTLUWwqswd_wMeN&si=q1xStQXKll8zW1N- 2 : https://youtube.com/playlist?list=PL_7JPE1TPWtX7wQkF7qIinniWf1Nlswug&si=hfYxZmmVJVL9PGZi 3 : https://youtube.com/playlist?list=PL_7JPE1TPWtWCBhtNRHWI3947J8K9IaTw&si=0JL6az-hDU4FTwo1 4 : https://youtube.com/playlist?list=PL_7JPE1TPWtUXe5tlww3kzIEl0OoQh1HE&si=m4fvmJdTB2gddeD0 ----------------------------------------------------------------------------------------------------------------------- Keywords: I made my Own Customize VC-02 Offline Voice Recognition Module VC-02 Kit Offline AI Voice Recognition Module voice recognition module offline voice recognition module offline voice assistant module how to upload firmware to vc 02 offline voice recognition module vc 02 module kya hai vc 02 voice assistant module ko kaise programme kare how to use vc 02 offline voice assistant module custom made pcb board how to make pcb board custom made VC-02 voice recognition module ----------------------------------------------------------------------------------------------------------------------- Timestamps : 00:00 Demo 00:34 Intro 01:13 Schematic 01:43 PCB design 02:03 New PCB unboxing 02:40 Soldering of VC 02 Module 03:24 Testing 04:58 Final testing 06:05 Outro ---------------------------------------------------------------------------------------------------------------------- You can follow me : Facebook Page : https://www.facebook.com/AviyansThoughts Facebook : https://www.facebook.com/mamunoor.mallick Instagram : https://instagram.com/aviyans_thoughts?igshid=MzNlNGNkZWQ4Mg== Twitter : https://twitter.com/aviyansthoughts?t=6qWt3uK2HuKE15Zj2BMNhQ&s=09 ---------------------------------------------------------------------------------------------------------------------- #voiceassistant #custompcb #offlinevoiceassistantmodule #onlinevoiceassistant #voicerecognitionmodule #us516p6 #shenzhen #arduinotutorial #aviyansthoughts ----------------------------------------------------------------------------------------------------------------------- Thanks for Watching. - Aviyan Mallick.