WS-5.3
voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models
Aju Ani Justus, University of Birmingham, United Kingdom of Great Britain and Northern Ireland; Ruchit Agrawal, Carnegie Mellon University, Qatar; Sudarsana Reddy Kadiri, Shrikanth Narayanan, University of Southern California, United States of America
Session:
WS-5: Speech, Music and Mind 2026 (SMM26) Oral
Track:
Satellite Workshops
Location:
Room 115
Presentation Time:
Mon, 4 May, 09:00 - 18:00
Presentation
Discussion
Resources
No resources available.
Session WS-5
WS-5.1: Induced Mood Shift and Cognitive Adaptation During Free Play in a Changing Tonic Context
Soham Korade, Walmart Global Tech India, India; Suswara Pochampally, Independent Researcher, India; Saroja T. K., International Institute of Information Technology Hyderabad, India
WS-5.2: PARAMETRIC ANALYSIS OF FEATURE SPECIFIC NEURAL CODING DURING MUSIC IMAGERY AND PERCEPTION
Aditi Jha, Indian Institute of Technology Gandhinagar, India; Derek Lomas, Delft Institute of Technology, Netherlands; Krishna Miyapuram, Indian Institute of Technology Gandhinagar, India
WS-5.3: voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models
Aju Ani Justus, University of Birmingham, United Kingdom of Great Britain and Northern Ireland; Ruchit Agrawal, Carnegie Mellon University, Qatar; Sudarsana Reddy Kadiri, Shrikanth Narayanan, University of Southern California, United States of America
WS-5.4: Musitopia: Bridging Human Expertise and AI for Digital Music Therapy
Mario Ortega, Raquel Lucena, Rafael Ramírez, Universitat Pompeu Fabra, Spain
Contacts