An electronic government model based on case study approach. - Nagendra Yadav; Hemant Yadav (Electron. Gov. an Int. J., 2009)

Automatic Speech Recognition for Real Time Systems. - Ranjodh Singh; Hemant Yadav; Mohit Sharma 004; Sandeep Gosain; Rajiv Ratn Shah (BigMM, 2019)

End-to-End Named Entity Recognition from English Speech. - Hemant Yadav; Sreyan Ghosh; Yi Yu 001; Rajiv Ratn Shah (INTERSPEECH, 2020)

MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. - Sarthak Anand; Pradyumna Gupta; Hemant Yadav; Debanjan Mahata; Rakesh Gosangi; Haimin Zhang; Rajiv Ratn Shah (SemEval@COLING, 2020)

De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting. - Hemant Yadav; Janvijay Singh; Atul Anshuman Singh; Rachit Mittal; Rajiv Ratn Shah (CoRR, 2020)

Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings. - Sreyan Ghosh; Sonal Kumar; Harsh Jalan; Hemant Yadav; Rajiv Ratn Shah (CoRR, 2021)

Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (CoRR, 2021)

Intent classification using pre-trained language agnostic embeddings for low resource languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (INTERSPEECH, 2022)

A Survey of Multilingual Models for Automatic Speech Recognition. - Hemant Yadav; Sunayana Sitaram (LREC, 2022)

Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract). - Hemant Yadav; Rajiv Ratn Shah (AAAI, 2023)

Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-Supervised Setting. - Hemant Yadav; Erica Cooper; Junichi Yamagishi; Sunayana Sitaram; Rajiv Ratn Shah (ASRU, 2023)

Analysing the Masked Predictive Coding Training Criterion for Pre-Training a Speech Representation Model. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (ICASSP, 2023)

MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (INTERSPEECH, 2024)

Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (CoRR, 2024)

JOOCI: a Framework for Learning Comprehensive Speech Representations. - Hemant Yadav; Rajiv Ratn Shah; Sunayana Sitaram (CoRR, 2024)

NOA-LSTM: An efficient LSTM cell architecture for time series forecasting. - Hemant Yadav; Amit Thakkar (Expert Syst. Appl., 2024)