6 citations · 19 across the 15 of their papers we have counts for
10 papers · 1 filter
Objective Measurements of Voice Quality
Hira Dhamyal, Rita Singh
The quality of human voice plays an important role across various fields like music, speech therapy, and communication, yet it lacks a universally accepted, objective definition. I…
PDAF: A Phonetic Debiasing Attention Framework For Speaker Verification
Massa Baali, Abdulhamid Aldoobi, Hira Dhamyal +2
Speaker verification systems are crucial for authenticating identity through voice. Traditionally, these systems focus on comparing feature vectors, overlooking the speech's conten…
SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios
Hazim Bukhari, Soham Deshmukh, Hira Dhamyal +2
Speech Emotion Recognition (SER) has been traditionally formulated as a classification task. However, emotions are generally a spectrum whose distribution varies from situation to…
Prompting Audios Using Acoustic Properties For Emotion Representation
Hira Dhamyal, Benjamin Elizalde, Soham Deshmukh +3
Emotions lie on a continuum, but current models treat emotions as a finite valued discrete variable. This representation does not capture the diversity in the expression of emotion…
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…
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…