7 citations · 13 across the 4 of their papers we have counts for
4 papers
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu
Imbalance in the proportion of training samples belonging to different classes often poses performance degradation of conventional classifiers. This is primarily due to the tendenc…
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Few-shot learning aims to generalize unseen classes that appear during testing but are unavailable during training. Prototypical networks incorporate few-shot metric learning, by c…
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications
Sri Harsha Dumpala, Imran Sheikh, Rupayan Chakraborty +1
Naturally introduced perturbations in audio signal, caused by emotional and physical states of the speaker, can significantly degrade the performance of Automatic Speech Recognitio…
A Deep Learning approach for Hindi Named Entity Recognition
Bansi Shah, Sunil Kumar Kopparapu
Named Entity Recognition is one of the most important text processing requirement in many NLP tasks. In this paper we use a deep architecture to accomplish the task of recognizing…