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20172022
most citedMultilingual and code-switching ASR challenges for low resource Indian languages

78 citations · 115 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL2022

Adaptive Discounting of Implicit Language Models in RNN-Transducers

Vinit Unni, Shreya Khare, Ashish Mittal +3

RNN-Transducer (RNN-T) models have become synonymous with streaming end-to-end ASR systems. While they perform competitively on a number of evaluation categories, rare words pose a…

cs.CL2021★ 9 cited

Representation based meta-learning for few-shot spoken intent recognition

Ashish Mittal, Samarth Bharadwaj, Shreya Khare +3

Spoken intent detection has become a popular approach to interface with various smart devices with ease. However, such systems are limited to the preset list of intents-terms or co…

cs.CL2021★ 78 cited

Multilingual and code-switching ASR challenges for low resource Indian languages

Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah +19

Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking adva…

cs.CL2020★ 1 cited

Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur +2

Text classification models, especially neural networks based models, have reached very high accuracy on many popular benchmark datasets. Yet, such models when deployed in real worl…

cs.CL2017

Hi, how can I help you?: Automating enterprise IT support help desks

Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte +7

Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task…

cs.CL2017

mAnI: Movie Amalgamation using Neural Imitation

Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3

Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…