- Roshan Sharma, Tyler Vuong, Mark Lindsey, Hira Dhamyal, Rita Singh, B. Raj. 2022. Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction. Abstract: This work presents a multitask approach to the simultaneous estimation of age, country of origin, and emotion given vocal burst audio for the 2022 ICML Expressive Vocalizations Challenge E X V O -M ULTI T ASK track. The method of choice utilized a combination of spectro-temporal modulation and self-supervised features, followed by an encoder-decoder network organized in a multitask paradigm. We evaluate the complementarity between the tasks posed by examining independent task-speciﬁc and joint models, and explore the relative strengths of different feature sets. We also introduce a simple score fusion mechanism to leverage the complementarity of different feature sets for this task. We ﬁnd that robust data preprocessing in con-junction with score fusion over spectro-temporal receptive ﬁeld and HuBERT models achieved our best E X V O -M ULTI T ASK test score of 0.412. framework may be This is the hypothesis which to
