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Rupak Vignesh Swaminathan

Observed names: Swaminathan, Rupak, Swaminathan, Rupak V, Swaminathan, Rupak Vignesh, Vignesh S. Rupak
OpenAlex ID: A5076547892
Objective Descriptors for the Assessment of Student Music Performances
2017 · Amruta Vidwans, Siddharth Gururani, et al. · 21
CoDERT: Distilling Encoder Representations with Co-Learning for Transducer-Based Speech Recognition
2021 · Rupak Vignesh Swaminathan, Brian King, et al. · Interspeech (USB) · 11
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Wanda++: Pruning Large Language Models via Regional Gradients
2025 · Yifan Yang, Kai Zhen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 8
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ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition
2022 · Martin Radfar, Rohit Barnwal, et al. · Interspeech (USB) · 8
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Improving Singing Voice Separation Using Attribute-Aware Deep Network
2019 · Rupak Vignesh Swaminathan, Alexander Lerch · International Workshop on Multilayer Music Representation and Processing (MMRP) · 7
Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models
2021 · Jing Liu, Rupak Vignesh Swaminathan, et al. · Lecture notes in computer science · 4
Improving Singing Voice Separation Using Attribute-Aware Deep Network
2019 · Rupak Vignesh Swaminathan, Alexander Lerch · International Workshop on Multilayer Music Representation and Processing (MMRP) · 3
SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning
2025 · Prabhat Pandey, Rupak Vignesh Swaminathan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models
2021 · Liu, Jing, Swaminathan, Rupak Vignesh, et al. · arXiv (Cornell University) · 2
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Blizzard Challenge 2015 : Submission by DONLab, IIT Madras
2015 · Anusha Prakash, Arun Baby, et al. · The Blizzard Challenge · 2
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
2025 · Ryan Solgi, Kai Zhen, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Leveraging Redundancy in Multiple Audio Signals for Far-Field Speech Recognition
2023 · Chang, Feng-Ju, Alexandridis, Anastasios, et al. · arXiv (Cornell University) · 1
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Accelerator-Aware Training for Transducer-Based Speech Recognition
2023 · Suhaila M. Shakiah, Rupak Vignesh Swaminathan, et al. · IEEE Spoken Language Technology Workshop (SLT) · 1
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Contextual-Utterance Training for Automatic Speech Recognition
2022 · Alejandro Gomez-Alanis, Lukas Drude, et al. · IberSPEECH · 1
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PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding
2026 · Association for Computational Linguistics 2026, Arora, Siddhant, et al. · Underline Science Inc.
PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding
2026 · Someki, Masao, Huang, Chien-yu, et al. · arXiv (Cornell University)
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PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding
2026 · Masao Someki, Chien-yu Huang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM
2025 · Solgi, Ryan, Madinei, Parsa, et al. · arXiv (Cornell University)
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SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning
2025 · Pandey, Prabhat, Swaminathan, Rupak Vignesh, et al. · arXiv (Cornell University)
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Wanda++: Pruning Large Language Models via Regional Gradients
2025 · Yang, Yifan, Zhen, Kai, et al. · arXiv (Cornell University)
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SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes
2025 · Yifan Yang, Zhen Zhang, et al. · neural information processing systems
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Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy
2024 · Rupak Vignesh Swaminathan, Grant P. Strimel, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
インド英語TTSのためのより良い音響モデルの構築における擬似音節の意義【Powered by NICT】
2016 · Vignesh S. Rupak, Shanmugam S. Aswin, et al. · IEEE Conference Proceedings
Works count: 24
Citation count: 72
H-index: 5
I10-index: 2
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