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 …

Microsystems with capabilities of acoustic signal perception and recognition are widely used
in unattended monitoring applications. In order to realize long-term and large-scale …

As deep learning models scale, they become increasingly competitive from domains
spanning from computer vision to natural language processing; however, this happens at …

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 …

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 …

Ultralow-power sensing with inference functionality embedded in sensor nodes is essential
for enabling the emerging pervasive intelligence. For acoustic inference sensing, the feature …

This article presents a 148-nW always-on wake-up system that drastically reduces the
system power consumption of Internet of Things (IoT) sensor nodes while oftentimes …

This article reports a keyword-spotting (KWS) chip for voice-controlled devices. It features a
number of techniques to enhance the performance, area, and power efficiencies: 1) a fast …

This paper presents a 32-channel analog filterbank for front-end signal processing in sound
classification systems. It employs a passive N-path switched capacitor topology to achieve …

This article presents a deep learning-based classifier IC for keyword spotting (KWS) in 65-
nm CMOS designed using an algorithm-hardware co-design approach. First, a recurrent …