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Found 3 papers, 1 papers with code
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
In this work, we use a semi-supervised learning (SSL) approach to improve the labeling consistency of the COUGHVID dataset and the robustness of COVID-19 versus healthy cough sound classification.
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load
To that end, we introduce a set of five datasets for task load detection in speech.
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health
Next, we classify each individual's POTP regardless of the task at hand, achieving an F-1 score of 77. 1% when distinguishing time passing faster rather than slower than usual.
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