Ruchit Agrawal

Orcid: 0000-0002-3609-9589

According to our database1, Ruchit Agrawal authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MMSD-Net: Towards Multi-modal Stuttering Detection.
CoRR, 2024

2022
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization.
IEEE Signal Process. Lett., 2022

Towards Context-Aware Neural Performance-Score Synchronisation.
CoRR, 2022

2021
Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Hybrid Approach to Audio-to-Score Alignment.
CoRR, 2020

Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment.
Proceedings of the 28th European Signal Processing Conference, 2020

2018
Multi-source transformer with combined losses for automatic post editing.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Contextual Handling in Neural Machine Translation: Look behind, ahead and on both sides.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

Multi-source Transformer for Automatic Post-Editing.
Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), 2018

2017
Integrating Knowledge Encoded by Linguistic Phenomena of Indian Languages with Neural Machine Translation.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017

Three-phase training to address data sparsity in Neural Machine Translation.
Proceedings of the 14th International Conference on Natural Language Processing, 2017

A vis-à-vis evaluation of MT paradigms for linguistically distant languages.
Proceedings of the 14th International Conference on Natural Language Processing, 2017


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