29 citations · 155 across the 31 of their papers we have counts for
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Detection and Evaluation of human and machine generated speech in spoofing attacks on automatic speaker verification systems
Yang Gao, Jiachen Lian, Bhiksha Raj +1
Automatic speaker verification (ASV) systems utilize the biometric information in human speech to verify the speaker's identity. The techniques used for performing speaker verifica…
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…
Interpreting glottal flow dynamics for detecting COVID-19 from voice
Soham Deshmukh, Mahmoud Al Ismail, Rita Singh
In the pathogenesis of COVID-19, impairment of respiratory functions is often one of the key symptoms. Studies show that in these cases, voice production is also adversely affected…
Detection of COVID-19 through the analysis of vocal fold oscillations
Mahmoud Al Ismail, Soham Deshmukh, Rita Singh
Phonation, or the vibration of the vocal folds, is the primary source of vocalization in the production of voiced sounds by humans. It is a complex bio-mechanical process that is h…
Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection
Soham Deshmukh, Bhiksha Raj, Rita Singh
Weakly Labelled learning has garnered lot of attention in recent years due to its potential to scale Sound Event Detection (SED) and is formulated as Multiple Instance Learning (MI…