29 citations · 37 across the 8 of their papers we have counts for
9 papers
Towards Generalizable Deepfake Image Detection with Vision Transformers
Kaliki V Srinanda, M Manvith Prabhu, Hemanth K Mogilipalem +4
In today's day and age, we face a challenge in detecting deepfake images because of the fast evolution of modern generative models and the poor generalization capability of existin…
Benchmarking Speech Systems for Frontline Health Conversations: The DISPLACE-M Challenge
Dhanya E, Ankita Meena, Manas Nanivadekar +11
The DIarization and Speech Processing for LAnguage understanding in Conversational Environments - Medical (DISPLACE-M) challenge introduces a conversational AI benchmark for unders…
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments
Shareef Babu Kalluri, Prachi Singh, Pratik Roy Chowdhuri +8
The DIarization of SPeaker and LAnguage in Conversational Environments (DISPLACE) 2024 challenge is the second in the series of DISPLACE challenges, which involves tasks of speaker…
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…
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset
Chethan Reddy G. P., Pullagurla Abhijith Reddy, Vidyashree R. Kanabur +3
In this paper, a semi-automatic annotation of bacteria genera and species from DIBaS dataset is implemented using clustering and thresholding algorithms. A Deep learning model is t…
COVID-19 Patient Detection from Telephone Quality Speech Data
Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, Deepu Vijayasenan
In this paper, we try to investigate the presence of cues about the COVID-19 disease in the speech data. We use an approach that is similar to speaker recognition. Each sentence is…
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…
Implicit segmentation of Kannada characters in offline handwriting recognition using hidden Markov models
Manasij Venkatesh, Vikas Majjagi, Deepu Vijayasenan
We describe a method for classification of handwritten Kannada characters using Hidden Markov Models (HMMs). Kannada script is agglutinative, where simple shapes are concatenated h…