Deep spoken keyword spotting: An overview
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 …
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
mSilent: Towards general corpus silent speech recognition using COTS mmWave radar
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 …
sound, avoiding being overheard or disturbing others. Compared to the video-based …
Wav2kws: Transfer learning from speech representations for keyword spotting
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 …
such as smart speakers, wearables, and other on-device or edge processing systems have …
Learning efficient representations for keyword spotting with triplet loss
R Vygon, N Mikhaylovskiy - … 2021, St. Petersburg, Russia, September 27 …, 2021 - Springer
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 …
standard for several important computer vision problems, most notably, person …
Firefox voice: An open and extensible voice assistant built upon the web
Voice assistants are fundamentally changing the way we access information. However,
voice assistants still leverage little about the web beyond simple search results. We …
voice assistants still leverage little about the web beyond simple search results. We …
Temporal early exiting for streaming speech commands recognition
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 …
as one of several speech commands, for which neural networks obtain state-of-the-art …
QbyE-MLPMixer: query-by-example open-vocabulary keyword spotting using MLPMixer
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 …
keywords. Recognizing keywords in an open-vocabulary setting is essential for …
Teaching keyword spotters to spot new keywords with limited examples
A Awasthi, K Kilgour, H Rom - arXiv preprint arXiv:2106.02443, 2021 - arxiv.org
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 …
keyword spotting (KWS) models to a user's choice of keywords. However, modern KWS …
Robust speech command recognition in challenging industrial environments
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 …
industrial settings, being the most natural way for a human worker to issue commands …
[PDF][PDF] Knowledge distillation for In-memory keyword spotting model.
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 …
control, that can be implemented on an in-memory computing (IMC) unit with same accuracy …