Voice Activity Detection (VAD) is a technique used to identify the presence of human voice in
an audio signal. It is implemented as an always-on component in most speech processing …

The use of speech-triggered wake-up interfaces has grown significantly in the last few years
for use in ubiquitous and mobile devices. Since these interfaces must always be active …

Biomedical applications often require classifiers that are both accurate and cheap to
implement. Today, deep neural networks achieve the state-of-the-art accuracy in most …

Edge audio devices can reduce data bandwidth requirements by pre-processing input
speech on the device before transmission to the cloud. As edge devices are required to …

This paper describes digital circuit architectures for automatic speech recognition (ASR) and
voice activity detection (VAD) with improved accuracy, programmability, and scalability. Our …

This paper presents a 64× 2 channel stereo-audio sensing front end with parallel
asynchronous event output inspired by the biological cochlea. Each binaural channel …

Voice-controlled interfaces on acoustic Internet-of-Things (IoT) sensor nodes and mobile
devices require integrated low-power always-on wake-up functions such as Voice Activity …

Always-on speech interfaces are prevailing in human-machine interaction, especially on
wearable devices, Internet of Things, etc., which benefits from the recent breakthroughs in …

This article presents the first keyword spotting (KWS) IC that uses a ring-oscillator-based
time-domain processing technique for its analog feature extractor (FEx). Its extensive usage …

This paper presents an ultra-low power acoustic sensing and object recognition
microsystem for Internet of Things applications. The microsystem is targeted for unattended …