Small footprint keyword spotting (KWS), or specifically wake-up word (WuW) detection is a typical and important module in internet of things (IoT) devices. It provides a way for users to control IoT devices with a hands-free experience. A WuW detection system usually runs locally and persistently on IoT devices, which requires low consumptional power, less model parameters, low computational comlexity and to detect predefined keyword in a streaming way, i.e., requires low latency.

Typical Scenario

We are going to support the following typical applications of wakeup word:

Single wake-up word
Multiple wake-up words
Customizable wake-up word
Personalized wake-up word, i.e. combination of wake-up word detection and voiceprint

Dataset

We plan to support a variaty of open source wake-up word datasets, include but not limited to:

All the well-trained models on these dataset will be made public avaliable.

Runtime

We plan to support a variaty of hardwares and platforms, including:

Web browser
x86
Android
Raspberry Pi

Languages

Python 76.2%

C++ 15.2%

Java 5.2%

Shell 2.4%

CMake 1%