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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 …
Broadcasted residual learning for efficient keyword spotting
Keyword spotting is an important research field because it plays a key role in device wake-
up and user interaction on smart devices. However, it is challenging to minimize errors while …
up and user interaction on smart devices. However, it is challenging to minimize errors while …
Person identification with arrhythmic ECG signals using deep convolution neural network
Over the past decade, the use of biometrics in security systems and other applications has
grown in popularity. ECG signals in particular are attracting increased attention due to their …
grown in popularity. ECG signals in particular are attracting increased attention due to their …
The dku post-challenge audio-visual wake word spotting system for the 2021 misp challenge: Deep analysis
This paper further explores our previous wake word spotting system ranked 2-nd in Track 1
of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D …
of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D …
Robust dual-modal speech keyword spotting for XR headsets
While speech interaction finds widespread utility within the Extended Reality (XR) domain,
conventional vocal speech keyword spotting systems continue to grapple with formidable …
conventional vocal speech keyword spotting systems continue to grapple with formidable …
Dummy prototypical networks for few-shot open-set keyword spotting
Keyword spotting is the task of detecting a keyword in streaming audio. Conventional
keyword spotting targets predefined keywords classification, but there is growing attention in …
keyword spotting targets predefined keywords classification, but there is growing attention in …
Puzzle: taking livestock tracking to the next level
Animal behavior is a critical aspect for a better understanding and management of animal
health and welfare. The combination of cameras with artificial intelligence holds significant …
health and welfare. The combination of cameras with artificial intelligence holds significant …
Wizard: Unsupervised goats tracking algorithm
Computer vision is an interesting tool for animal behavior monitoring, mainly because it
limits animal handling and it can be used to record various traits using only one sensor …
limits animal handling and it can be used to record various traits using only one sensor …
Metric learning for keyword spotting
The goal of this work is to train effective representations for keyword spotting via metric
learning. Most existing works address keyword spotting as a closed-set classification …
learning. Most existing works address keyword spotting as a closed-set classification …
[PDF][PDF] Robust keyword spotting for noisy environments by leveraging speech enhancement and speech presence probability
Although various deep keyword spotting (KWS) systems have demonstrated promising
performance under relatively noiseless environments, accurate keyword detection in the …
performance under relatively noiseless environments, accurate keyword detection in the …