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Author

Shekhar Nayak

Observed names: Nayak Shekhar, Nayak, Shekhar, Nayak, Shekhar; id_orcid 0000-0002-4277-4851
ORCID: 0000-0002-4277-4851
Observed ORCID: 0000-0002-4277-4851
OpenAlex ID: A5001110193
Unsupervised Speech Signal to Symbol Transformation for Zero Resource Speech Applications
2017 · Saurabhchand Bhati, Shekhar Nayak, et al. · Interspeech (USB) · 19
A new approach for robust replay spoof detection in ASV systems
2017 · B Shaik Mohammad Rafi, K Sri Rama Murty, et al. · IEEE Global Conference on Signal and Information Processing · 17
An investigation into instantaneous frequency estimation methods for improved speech recognition features
2017 · Shekhar Nayak, Saurabhchand Bhati, et al. · IEEE Global Conference on Signal and Information Processing · 12
Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings
2019 · Saurabhchand Bhati, Shekhar Nayak, et al. · Interspeech (USB) · 10
Unsupervised Segmentation of Speech Signals Using Kernel-Gram Matrices
2018 · Saurabhchand Bhati, Shekhar Nayak, et al. · Communications in computer and information science · 8
Unsupervised spoken word retrieval using Gaussian-bernoulli restricted boltzmann machines
2014 · Raghavendra Reddy Pappagari, Shekhar Nayak, et al. · Interspeech (USB) · 8
Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection
2025 · Devraj Raghuvanshi, Xiyuan Gao, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 5
Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data
2024 · Spyretta Leivaditi, Tatsunari Matsushima, et al. · Interspeech (USB) · 4
Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech
2022 · Xiyuan Gao, Shekhar Nayak, et al. · Interspeech (USB) · 4
Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments
2024 · Xiyuan Gao, Shekhar Nayak, et al. · Proceedings of meetings on acoustics · 3
Reconstruction of Level Cross Sampled Signals Using Sparse Signals & Backtracking Iterative Hard Thresholding
2021 · Sudheer Kumar Terlapu, Viswanadham Ravuri, et al. · Journal of Scientific & Industrial Research · 3
Unsupervised Speech Signal-to-Symbol Transformation for Language Identification
2020 · Saurabhchand Bhati, Shekhar Nayak, et al. · Circuits Systems and Signal Processing · 3
Virtual Phone Discovery for Speech Synthesis Without Text
2019 · Shekhar Nayak, C. Shiva Kumar, et al. · IEEE Global Conference on Signal and Information Processing · 3
Zero Resource Speaking Rate Estimation from Change Point Detection of Syllable-like Units
2019 · Shekhar Nayak, Saurabhchand Bhati, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 3
Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition—Multimodal Fusion, Challenges, and Future Prospects
2025 · Xiyuan Gao, Shekhar Nayak, et al. · IEEE Transactions on Affective Computing · 2
Instantaneous Frequency Features for Noise Robust Speech Recognition
2019 · Shekhar Nayak, Dhar B. Shashank, et al. · National Conference on Communications · 2
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bimodal Data Augmentation
2025 · Xiyuan Gao, Shubhi Bansal, et al. · IEEE Transactions on Affective Computing · 1
Evaluating Multimodal Large Language Models on Spoken Sarcasm Detection
2025 · Li, Zhu, Gao, Xiyuan, et al. · arXiv (Cornell University) · 1
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Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection
2025 · Zhu Li, Yuqing Zhang, et al. · Interspeech (USB) · 1
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Enhancing sarcasm detection through multimodal data integration: A proposal for augmenting audio with text and emoticon
2024 · Xiyuan Gao, Shekhar Nayak, et al. · The Journal of the Acoustical Society of America · 1
Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations
2023 · Le Minh Nguyen, Shekhar Nayak, et al. · IEEE Spoken Language Technology Workshop (SLT) · 1
Investigating the Relationship between Objective AI-driven Metrics and Subjective MOS for In-the-Wild Speech
2026 · Sanjotra, Jasmer, Kumar, Nagendra, et al. · University of Groningen research database (University of Groningen / Centre for Information Technology)
What Makes Synthetic Speech Sound Sarcastic? A Prosody-Controlled Perception Study
2026 · Li, Zhu, Nayak, Shekhar, et al. · arXiv (Cornell University)
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Forgive or forget: Understanding the context of hate in audio retrieval systems
2026 · Pal, Arghya, Rajanala, Sailaja, et al. · arXiv (Cornell University)
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SarcasmMiner: A Dual-Track Post-Training Framework for Robust Audio-Visual Sarcasm Reasoning
2026 · Li, Zhu, Chen, Yongjian, et al. · arXiv (Cornell University)
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Works count: 39
Citation count: 111
H-index: 6
I10-index: 4
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