Smart Home Personal Assistants (SPA) are an emerging innovation that is changing the
means by which home users interact with technology. However, several elements expose …

Smart Home Personal Assistants (SPA) have a complex ecosystem that enables them to
carry out various tasks on behalf of the user with just voice commands. SPA capabilities are …

Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital
home assistants with a spoken language interface have become a ubiquitous commodity …

Artificial neural networks (ANN) have become the mainstream acoustic modeling technique
for large vocabulary automatic speech recognition (ASR). A conventional ANN features a …

Abstract Voice Assistants (VAs) such as Amazon Alexa or Google Assistant rely on wake-
word detection to respond to people's commands, which could potentially be vulnerable to …

Voice assistants like Amazon's Alexa, Google's Assistant, or Apple's Siri, have become the
primary (voice) interface in smart speakers that can be found in millions of households. For …

We present a system for keyword spotting that, except for a front-end component for feature
generation, it is entirely contained in a deep neural network (DNN) model trained" end-to …

Automatic speech transcription and speaker recognition are usually treated as separate
tasks even though they are interdependent. In this study, we investigate training a single …

Modern wake word detection systems usually rely on neural networks for acoustic modeling.
Transformers has recently shown superior performance over LSTM and convolutional …

Small footprint embedded devices require keyword spotters (KWS) with small model size
and detection latency for enabling voice assistants. Such a keyword is often referred to …