Deep Learning on Respeaker Core V2

Products & Technology ReSpeaker
1

Is there a way to run either tensorflow or pytorch on the respeaker core v2?

2

Hi,

Since the Respeker Core V2 is GNU/Linux based operating system you can run the tensorflow or pytorch implementations . you can take the example with honk , honk is a PyTorch implementations of neural network models for keyword spotting http://honk.ai/ .

3

ReSpeaker Core v2.0 is designed for voice interface applications. It is based on the Rockchip RK3229, a quad-core ARM Cortex A7, running up to 1.5GHz, with 1GB RAM. The board features a six microphone array with speech algorithms including DoA. ReSpeaker Core v2.0 runs a GNU/Linux operating system.

It benefits from a powerful and active community allowing for the use of existing software and tools for development, testing, and deployment, enabling rapid product development. ReSpeaker Core v2.0 is designed as a feature rich development board for businesses to evaluate. To this end the board consists of two main sections, the first being the center core module containing the CPU, Memory (RAM), and PMU.