ObscureNet: Learning attribute-invariant latent representation for anonymizing sensor data
In this paper, we introduce ObscureNet, an encoder-decoder architecture that effectively
conceals private attributes associated with time series data generated by sensors in IoT …
conceals private attributes associated with time series data generated by sensors in IoT …
Pattern analysis based acoustic signal processing: a survey of the state-of-art
J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
[HTML][HTML] Acoustic differences in emotional speech of people with dysarthria
Communicating emotion is essential in building and maintaining relationships. We
communicate our emotional state not just with the words we use, but also how we say them …
communicate our emotional state not just with the words we use, but also how we say them …
Using Vocal-Based Emotions as a Human Error Prevention System with Convolutional Neural Networks
A Alsalhi, A Almehmadi - Applied Sciences, 2024 - mdpi.com
Human error is a mark assigned to an event that has negative effects or does not produce a
desired result, with emotions playing an important role in how humans think and behave. If …
desired result, with emotions playing an important role in how humans think and behave. If …
Dysarthric speech emotion classification
LA Alhinti - 2021 - etheses.whiterose.ac.uk
Emotions play critical role in our lives. Communicating emotion is essential in building and
maintaining relationships. Misunderstanding them or being unable to express them clearly …
maintaining relationships. Misunderstanding them or being unable to express them clearly …