research
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10/27/2022
A knowledge-driven vowel-based approach of depression classification from speech using data augmentation
We propose a novel explainable machine learning (ML) model that identifi...
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10/27/2022
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships
We design a metric learning approach that aims to address computational ...
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10/05/2022
Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels
Psychomotor retardation associated with depression has been linked with ...
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06/23/2022
Predicting the meal macronutrient composition from continuous glucose monitors
Sustained high levels of blood glucose in type 2 diabetes (T2DM) can hav...
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09/07/2021
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
Speech-based machine learning (ML) has been heralded as a promising solu...
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09/16/2020
Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs
The COVID-19 pandemic caused by the novel SARS-Coronavirus-2 (n-SARS-CoV...
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06/04/2020
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition
Automatic emotion recognition plays a significant role in the process of...
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01/16/2020
