341 citations · 381 across the 8 of their papers we have counts for
6 papers · 1 filter
Neural PLDA Modeling for End-to-End Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
While deep learning models have made significant advances in supervised classification problems, the application of these models for out-of-set verification tasks like speaker reco…
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy +2
Many commercial and forensic applications of speech demand the extraction of information about the speaker characteristics, which falls into the broad category of speaker profiling…
Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Neeraj Sharma, Prashant Krishnan, Rohit Kumar +5
The COVID-19 pandemic presents global challenges transcending boundaries of country, race, religion, and economy. The current gold standard method for COVID-19 detection is the rev…
Pairwise Discriminative Neural PLDA for Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Prachi Singh +1
The state-of-art approach to speaker verification involves the extraction of discriminative embeddings like x-vectors followed by a generative model back-end using a probabilistic…
NPLDA: A Deep Neural PLDA Model for Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
The state-of-art approach for speaker verification consists of a neural network based embedding extractor along with a backend generative model such as the Probabilistic Linear Dis…
LEAP System for SRE19 CTS Challenge -- Improvements and Error Analysis
Shreyas Ramoji, Prashant Krishnan, Bhargavram Mysore +2
The NIST Speaker Recognition Evaluation - Conversational Telephone Speech (CTS) challenge 2019 was an open evaluation for the task of speaker verification in challenging conditions…