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ORCIDHemant Yadav
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2020 – today
- 2024
[j2]Hemant Yadav
, Amit Thakkar:
NOA-LSTM: An efficient LSTM cell architecture for time series forecasting. Expert Syst. Appl. 238(Part F): 122333 (2024)- [i11]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations. CoRR abs/2406.05661 (2024) - [i10]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation. CoRR abs/2408.10557 (2024) - [i9]Hemant Yadav, Rajiv Ratn Shah, Sunayana Sitaram:
JOOCI: a Framework for Learning Comprehensive Speech Representations. CoRR abs/2410.11086 (2024) - 2023
- [c8]Hemant Yadav, Rajiv Ratn Shah:
Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract). AAAI 2023: 16374-16375 - [c7]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-Supervised Setting. ASRU 2023: 1-7 - [c6]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked Predictive Coding Training Criterion for Pre-Training a Speech Representation Model. ICASSP 2023: 1-5 - [i8]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model. CoRR abs/2303.06982 (2023) - [i7]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting. CoRR abs/2310.05078 (2023) - 2022
- [c5]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent classification using pre-trained language agnostic embeddings for low resource languages. INTERSPEECH 2022: 3473-3477 - [c4]Hemant Yadav, Sunayana Sitaram:
A Survey of Multilingual Models for Automatic Speech Recognition. LREC 2022: 5071-5079 - [i6]Hemant Yadav, Sunayana Sitaram:
A Survey of Multilingual Models for Automatic Speech Recognition. CoRR abs/2202.12576 (2022) - 2021
- [i5]Sreyan Ghosh, Sonal Kumar, Harsh Jalan, Hemant Yadav, Rajiv Ratn Shah:
Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings. CoRR abs/2101.11422 (2021) - [i4]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. CoRR abs/2110.09264 (2021) - 2020
- [c3]Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah:
End-to-End Named Entity Recognition from English Speech. INTERSPEECH 2020: 4268-4272 - [c2]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. SemEval@COLING 2020: 1678-1684 - [i3]Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah:
End-to-end Named Entity Recognition from English Speech. CoRR abs/2005.11184 (2020) - [i2]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings. CoRR abs/2009.02619 (2020) - [i1]Hemant Yadav, Janvijay Singh, Atul Anshuman Singh, Rachit Mittal, Rajiv Ratn Shah:
De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting. CoRR abs/2011.12979 (2020)
2010 – 2019
- 2019
- [c1]Ranjodh Singh, Hemant Yadav, Mohit Sharma, Sandeep Gosain, Rajiv Ratn Shah:
Automatic Speech Recognition for Real Time Systems. BigMM 2019: 189-198
2000 – 2009
- 2009
- [j1]Nagendra Yadav, Hemant Yadav:
An electronic government model based on case study approach. Electron. Gov. an Int. J. 6(4): 421-432 (2009)
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