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 …

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 …

Accurate on-device wake word detection is crucial to products with far-field voice control
such as the Amazon Echo. It is quite challenging to build a wake word system with both low …

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 …

A keyword spotting (KWS) system determines the existence of, usually predefined, keyword
in a continuous speech stream. This paper presents a query-by-example on-device KWS …

Keyword Spotting (KWS) systems allow detecting a set of spoken (pre-defined) keywords.
Open-vocabulary KWS systems search for the keywords in the set of word hypotheses …

In this work, we propose a GAN-based method to generate synthetic data for speech
emotion recognition. Specifically, we investigate the usage of GANs for capturing the data …

Accurate on-device keyword spotting (KWS) with low false accept and false reject rate is
crucial to customer experience for far-field voice control of conversational agents. It is …

Wake word (WW) spotting is challenging in far-field not only because of the interference in
signal transmission but also the complexity in acoustic environment. Traditional WW model …