5 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data
Kunal Dhawan, Ganji Sreeram, Kumar Priyadarshi +1
End-to-end (E2E) systems are fast replacing the conventional systems in the domain of automatic speech recognition. As the target labels are learned directly from speech data, the…