ICCaT Researcher: Eduardo Coutinho

Eduardo Coutinho works in the interdisciplinary fields of Music Psychology and Affective Computing, where his expertise is in the study of emotional expression, perception and induction through music, and the automatic recognition of emotion in music and speech. Before his appointment at Liverpool, he was a Research Fellow in Music Psychology at the University of Sheffield and the Swiss Center for Affective Sciences, and a Research Associate in Affective Computing at the Technical University of Munich and Imperial College London. He has contributed significantly to a broader understanding of the emotional impact of music on listeners, namely on the link between music structure and emotion, the types of emotions induced by music, and individual and contextual factors that mediate the relationships between music and listeners. Coutinho pioneered research on the analysis of emotional dynamics in music, and made significant contributions to the field of music emotion recognition, setting the new standard approach for recognition of emotional dynamics in music. Currently his work focuses on the application of music in Healthcare. He has published significantly in peer-reviewed top journals and conferences in both Music Psychology and Affective Computing topics. In 2013, he received the Knowledge Transfer Award from the National Center of Competence in Research in Affective Sciences, and in 2014 the Young Investigator Award from the International Neural Network Society. http://www.eadward.org/, https://www.liverpool.ac.uk/music/staff/eduardo-coutinho


27.02.2017 Eduardo Coutinho was awarded a Knowledge Exchange & Impact Voucher from the University of Liverpool for a project entitled "Music Selections for Improving Road Safety." In this project, we will collect data that will permit analysing the link between the music heard by drivers on the road and specific driving behaviours (e.g., speeding, risk taking). This data will then be used to develop computational models that predict the potential risk of specific music pieces for driving.
 For more information please see here.

23.02.2017 Romain Sabathé, Eduardo Coutinho and Björn Schuller's recent work on automated music composition done in collaboration with the Imperial College London has been accepted to the 2017 International Joint Conference on Neural Networks (IJCNN). "Deep Recurrent Music Writer: Memory-enhanced Variational Autoencoder-based Musical Score Composition and an Objective Measure."
 For more information please see here.