most citedOptimization of Transfer Learning for Sign Language Recognition Targeting Mobile Platform

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages

Deovrat Mehendale, Aditya Mehndiratta, Dhruv Rathi +2

In this work, we introduce Indic DiarBench, a speaker diarization and ASR benchmark dataset spanning all 22 scheduled languages of India. This corpus comprises approximately 108 ho…

eess.AS2026

IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages

Sakshi Joshi, Dhruv Subhash Rathi, Sanskar Singh +4

AudioLLMs enable speech recognition conditioned on textual prompts such as domain descriptions or entity lists. However, it remains unclear whether these models genuinely utilise s…

cs.CL2026

Towards Orthographically-Informed Evaluation of Speech Recognition Systems for Indian Languages

Kaushal Santosh Bhogale, Tahir Javed, Greeshma Susan John +4

Evaluating ASR systems for Indian languages is challenging due to spelling variations, suffix splitting flexibility, and non-standard spellings in code-mixed words. Traditional Wor…

cs.CR2018★ 2 cited

DroidMark: A Tool for Android Malware Detection using Taint Analysis and Bayesian Network

Dhruv Rathi, Rajni Jindal

With the increasing user base of Android devices and advent of technologies such as Internet Banking, delicate user data is prone to be misused by malware and spyware applications.…

cs.CV2018★ 1 cited

Underwater Fish Species Classification using Convolutional Neural Network and Deep Learning

Dhruv Rathi, Sushant Jain, Dr. S. Indu

The target of this paper is to recommend a way for Automated classification of Fish species. A high accuracy fish classification is required for greater understanding of fish behav…

cs.CV2018★ 4 cited

Optimization of Transfer Learning for Sign Language Recognition Targeting Mobile Platform

Dhruv Rathi

The target of this research is to experiment, iterate and recommend a system that is successful in recognition of American Sign Language (ASL). It is a challenging as well as an in…