most citedAudio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey

41 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS20212 cited

Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition

Protima Nomo Sudro, Rohan Kumar Das, Rohit Sinha +1

The automatic recognition of pathological speech, particularly from children with any articulatory impairment, is a challenging task due to various reasons. The lack of available d…

cs.SD20211 cited

Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement

Protima Nomo Sudro, Rohit Sinha, S. R. Mahadeva Prasanna

The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phonem…

eess.AS2021

Enhancing the Intelligibility of Cleft Lip and Palate Speech using Cycle-consistent Adversarial Networks

Protima Nomo Sudro, Rohan Kumar Das, Rohit Sinha +1

Cleft lip and palate (CLP) refer to a congenital craniofacial condition that causes various speech-related disorders. As a result of structural and functional deformities, the affe…

cs.CV2021

Exploration of Visual Features and their weighted-additive fusion for Video Captioning

Praveen S, Akhilesh Bharadwaj, Harsh Raj +4

Video captioning is a popular task that challenges models to describe events in videos using natural language. In this work, we investigate the ability of various visual feature re…

cs.CR202141 cited

Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey

Hareesh Mandalapu, P N Aravinda Reddy, Raghavendra Ramachandra +4

Biometric recognition is a trending technology that uses unique characteristics data to identify or verify/authenticate security applications. Amidst the classically used biometric…