341 citations · 379 across the 7 of their papers we have counts for
8 papers · 1 filter
Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments
Shikha Baghel, Shreyas Ramoji, Somil Jain +4
In multi-lingual societies, where multiple languages are spoken in a small geographic vicinity, informal conversations often involve mix of languages. Existing speech technologies…
DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments
Shikha Baghel, Shreyas Ramoji, Sidharth +8
In multilingual societies, social conversations often involve code-mixed speech. The current speech technology may not be well equipped to extract information from multi-lingual mu…
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
Ananya Muguli, Lancelot Pinto, Nirmala R. +9
The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory health d…
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…
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…