Looking beyond speech recognition to evaluate cochlear implants

More than a million people around the world rely on cochlear implants (CIs) to hear. CI effectiveness is generally evaluated ...
IEEE

M 4 SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition

Abstract: Multimodal speech emotion recognition (SER) has emerged as pivotal for improving human–machine interaction. Researchers are increasingly leveraging both speech and textual information ...
IEEE

Performance Evaluation of Speech Emotion Recognition Using Hybrid Feature Selection and Machine Learning

Abstract: Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction, offering insights into user emotions, particularly in environments with complex acoustic interactions ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
C&EN

Sampling and Ranking of Protein Conformations Using Machine Learning Techniques Do Not Improve the Quality of Rigid Protein–Protein Docking

Receptor.AI Inc., 20-22 Wenlock Road, London N1 7GU, U.K. Department of Biophysics and Medical Informatics, Educational and Scientific Centre “Institute of Biology and Medicine”, Taras Shevchenko Kyiv ...