Wed AM1.P: Applications of Machine Learning in Speech and Natural Language
Wed, 6 Sep, 10:30 - 12:30 Finland Time (UTC +3)
Location: Fennia Foyer
Session Type: Poster
Session Chair: Saikat Chatterjee, KTH Royal Institute of Technology
Track: SiG-DML - Signal and Data Analytics for Machine Learning

Wed AM1.P.1: GREEKPOLITICS: SENTIMENT ANALYSIS ON GREEK POLITICALLY CHARGED TWEETS
Emmanouil Patsiouras, Ioanna Koroni, Ioannis Mademlis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

Wed AM1.P.2: Online Handwriting Gesture Recognition using Transformer and Natural Language Processing
Guenole Silvestre, Felix Balado, Olumide Akinremi, Mirco Ramo, University College Dublin, Ireland

Wed AM1.P.3: Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan, Aalborg University, Denmark

Wed AM1.P.4: APPLYING SPEECH DERIVED BREATHING PATTERNS TO AUTOMATICALLY CLASSIFY HUMAN CONFIDENCE
Gauri Deshpande, TCS Research, University of Augsburg Germany, India; Yagna Gudipalli, Sachin Patel, TCS Research, Pune India, India; Bjorn Schuller, University of Augsburg Germany, GLAM – Group on Language, Audio, & Music, Imperial College London, UK, Germany

Wed AM1.P.5: Attentions For Short Duration Speech Classification
Hastin Modi, Maitreya Patel, Hemant A. Patil, Dhirubhai Ambani Institute of Information and Communication Technology, United States

Wed AM1.P.6: Could Discourse Analysis Reveal Pre-frailty in Older Adults?
Manuel Abbas, Joaquim Prud'Homm, Fabien Lemoine, Guy Carrault, Université de Rennes 1, France; Dominique Somme, Centre Hospitalier Universitaire (CHU) de Rennes, France; Régine Le Bouquin Jeannès, Université de Rennes 1, France