Features:
brand new and high quality
Used for a large number of pure offline control scenarios and products.
The audio signal is trained and learned through the neural network to improve the voice signal Recognition ability.
Supports offline recognition of 150 local commands, freely customizable wake-up words, command words and response broadcast words, and has a wealth of peripheral interfaces.
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.
Can be widely and quickly applied to smart homes, various smart small appliances, 86 boxes, toys, lamps, industrial, medical, Products that require voice control, such as the Internet of Things, automobiles, security and lighting.
Specifications:
Material: Metal
Size: As Shown
Note:
Processing kernel:
32bit RISC core, running frequency 240M
Support DSP instruction set and FPU floating point operation unit
FFT accelerator: supports up to 1024 points of complex FFT/IFFT operations or 2048 points of real FFT/IFFT operations
Storage:
Support 1 analog Mic input
Support dual-channel DAC output
Support 12S input/output
Peripheral interface:
Support up to 10 GPIO
All GPIO can be configured as external interrupt input and call source
1 standard SPI Master interface, the highest speed is 30MHz
1 SPI Slave interface with a maximum rate of 30MHz
1 full-duplex UART maximum rate 3Mbps
I I2C master/slave controller with a maximum speed of 400kHz
2 PWM outputs
1 12-bit SAR-ADC maximum 450Khz sampling rate
Package includes:
1 Set Controller