29 citations · 155 across the 31 of their papers we have counts for
4 papers · 1 filter
Describing emotions with acoustic property prompts for speech emotion recognition
Hira Dhamyal, Benjamin Elizalde, Soham Deshmukh +3
Emotions lie on a broad continuum and treating emotions as a discrete number of classes limits the ability of a model to capture the nuances in the continuum. The challenge is how…
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition
Roshan Sharma, Hira Dhamyal, Bhiksha Raj +1
Traditionally, in paralinguistic analysis for emotion detection from speech, emotions have been identified with discrete or dimensional (continuous-valued) labels. Accordingly, mod…
Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction
Roshan Sharma, Tyler Vuong, Mark Lindsey +3
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 Cha…
On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice
Ankit Shah, Hira Dhamyal, Yang Gao +4
Lately, there has been a global effort by multiple research groups to detect COVID-19 from voice. Different researchers use different kinds of information from the voice signal to…