Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …
prosodic properties of a speech signal are modulated with a range of health related effects …
Unobtrusive and wearable systems for automatic dietary monitoring
T Prioleau, E Moore… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The threat of obesity, diabetes, anorexia, and bulimia in our society today has motivated
extensive research on dietary monitoring. Standard self-report methods such as 24-h recall …
extensive research on dietary monitoring. Standard self-report methods such as 24-h recall …
Dietary composition perception algorithm using social robot audition for Mandarin Chinese
As the problem of an aging population becomes more and more serious, social robots have
an increasingly significant influence on human life. By employing regular question-and …
an increasingly significant influence on human life. By employing regular question-and …
Learning deep representations for video-based intake gesture detection
Automatic detection of individual intake gestures during eating occasions has the potential
to improve dietary monitoring and support dietary recommendations. Existing studies …
to improve dietary monitoring and support dietary recommendations. Existing studies …
Auditory seasoning filters: Altering food perception via augmented sonic feedback of chewing sounds
The experience of what we eat depends not only on the taste of the food, but also on other
modalities of sensory feedback. Perceptual research has shown the potential of altering …
modalities of sensory feedback. Perceptual research has shown the potential of altering …
Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech
Abstract Representation transfer learning has been widely used across a range of machine
learning tasks. One such notable approach seen in the speech literature is the use of …
learning tasks. One such notable approach seen in the speech literature is the use of …
CUSCO: an unobtrusive custom secure audio-visual recording system for ambient assisted living
The ubiquity of digital technology has facilitated detailed recording of human behaviour.
Ambient technology has been used to capture behaviours in a broad range of applications …
Ambient technology has been used to capture behaviours in a broad range of applications …
Oreba: A dataset for objectively recognizing eating behavior and associated intake
Automatic detection of intake gestures is a key element of automatic dietary monitoring.
Several types of sensors, including inertial measurement units (IMU) and video cameras …
Several types of sensors, including inertial measurement units (IMU) and video cameras …
Using hybrid HMM/DNN embedding extractor models in computational paralinguistic tasks
M Vetráb, G Gosztolya - Sensors, 2023 - mdpi.com
The field of computational paralinguistics emerged from automatic speech processing, and it
covers a wide range of tasks involving different phenomena present in human speech. It …
covers a wide range of tasks involving different phenomena present in human speech. It …
Computational Commensality: from theories to computational models for social food preparation and consumption in HCI
Food and eating are inherently social activities taking place, for example, around the dining
table at home, in restaurants, or in public spaces. Enjoying eating with others, often referred …
table at home, in restaurants, or in public spaces. Enjoying eating with others, often referred …