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We present Burst2Vec, our multi-task learning approach to predict emotion,age, and origin (i.e., native country/language) from vocal bursts. Burst2Vecutilises pre-trained speech representations to capture acoustic informationfrom raw waveforms and incorporates the concept of model debiasing viaadversarial training. Our models achieve a relative 30 % performance gain overbaselines using pre-extracted features and score the highest amongst allparticipants in the ICML ExVo 2022 Multi-Task Challenge.

Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts