Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …

Silent speech recognition (SSR) allows users to speak to the device without making a
sound, avoiding being overheard or disturbing others. Compared to the video-based …

With the expanding development of on-device artificial intelligence, voice-enabled devices
such as smart speakers, wearables, and other on-device or edge processing systems have …

In the past few years, triplet loss-based metric embeddings have become a de-facto
standard for several important computer vision problems, most notably, person …

Voice assistants are fundamentally changing the way we access information. However,
voice assistants still leverage little about the web beyond simple search results. We …

Limited-vocabulary speech commands recognition is the task of classifying a short utterance
as one of several speech commands, for which neural networks obtain state-of-the-art …

Current keyword spotting systems are typically trained with a large amount of pre-defined
keywords. Recognizing keywords in an open-vocabulary setting is essential for …

Learning to recognize new keywords with just a few examples is essential for personalizing
keyword spotting (KWS) models to a user's choice of keywords. However, modern KWS …

Speech is among the main forms of communication between humans and robots in
industrial settings, being the most natural way for a human worker to issue commands …

We study a light-weight implementation of keyword spotting (KWS) for voice command and
control, that can be implemented on an in-memory computing (IMC) unit with same accuracy …