AI large model voice development kit voice assistant chatbot to make your own chatbot. A whole electronic kit set ai module to DIY your smart home. Easy to access ChatGPT.Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production and sales.
AI_VOICE Z01 is a cost-effective AI large model voice development kit voice assistant chatbot that can be used to quickly implement A1 voice applications and embedded A1 learning, and quickly develop and verify A1 voice products.
Built-in
dual-channel high-sensitivity and high-SNR digital microphones,
DVP universal camera interface,
TF card slot,
RGB colorful lights
3.7V lithium battery interface
Battery voltage measurement IC and other peripherals
The ESP32-S3R8/ESP32-S3R2 chip it uses integrates low-power WiFi and BLE5.0, external 16MB FIash and 8MB/2MB PSRAM, built-in hardware encryption accelerator, random number generator, HMAC and digital signature module, meeting users' development needs in low-cost, low-power, A1 large model toys, Internet of Things, mobile devices, outdoor monitoring, smart home and other fields.
Dual-core high-performance main control 240MHZ
Open source AILINKER backend service framework
Dual-channel digital silicon microphone
Support dual-microphone noise reduction algorithm
Support VAD algorithm Support AEC algorithm
Support custom access large model
CHATGPT, Zhipu Qingyan, Tongyi Qianwen, Wenxin Yiyan, Doubao
Lightweight
Safe
Low latency
Wake-up word customization
Customized control instructions
Small memory usage
Fast calculation speed
Local model
Offline operation
Quick response
No network transmission delay
Personalized customization
Corpus collection
Easy to add and delete commands
Flexible binding actions
Local voice wake-up
Low resource consumption of wake-up model
Front-end acoustic algorithm
High recognition accuracy
Can support 5 wake-up words
Internal RAM: 15~24 KB.
CPU load 9%~30%(ESP32)
Microphone array algorithm, echo cancellation,
Noise reduction, sound activity detection