6 citations · 12 across the 5 of their papers we have counts for
6 papers
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…
An Overview of Techniques for Biomarker Discovery in Voice Signal
Rita Singh, Ankit Shah, Hira Dhamyal
This paper reflects on the effect of several categories of medical conditions on human voice, focusing on those that may be hypothesized to have effects on voice, but for which the…
Masked Proxy Loss For Text-Independent Speaker Verification
Jiachen Lian, Aiswarya Vinod Kumar, Hira Dhamyal +2
Open-set speaker recognition can be regarded as a metric learning problem, which is to maximize inter-class variance and minimize intra-class variance. Supervised metric learning c…
Detecting gender differences in perception of emotion in crowdsourced data
Shahan Ali Memon, Hira Dhamyal, Oren Wright +5
Do men and women perceive emotions differently? Popular convictions place women as more emotionally perceptive than men. Empirical findings, however, remain inconclusive. Most prio…
The phonetic bases of vocal expressed emotion: natural versus acted
Hira Dhamyal, Shahan Ali Memon, Bhiksha Raj +1
Can vocal emotions be emulated? This question has been a recurrent concern of the speech community, and has also been vigorously investigated. It has been fueled further by its lin…