Unsupervised spoken word retrieval using Gaussian-bernoulli restricted boltzmann machines. - Raghavendra Reddy Pappagari; Shekhar Nayak; K. Sri Rama Murty (INTERSPEECH, 2014)

An investigation into instantaneous frequency estimation methods for improved speech recognition features. - Shekhar Nayak; Saurabhchand Bhati; K. Sri Rama Murty (GlobalSIP, 2017)

A new approach for robust replay spoof detection in ASV systems. - B. Shaik Mohammad Rafi; K. Sri Rama Murty; Shekhar Nayak (GlobalSIP, 2017)

Unsupervised Speech Signal to Symbol Transformation for Zero Resource Speech Applications. - Saurabhchand Bhati; Shekhar Nayak; K. Sri Rama Murty (INTERSPEECH, 2017)

Unsupervised Segmentation of Speech Signals Using Kernel-Gram Matrices. - Saurabhchand Bhati; Shekhar Nayak; K. Sri Rama Murty (NCVPRIPG, 2017)

Virtual Phone Discovery for Speech Synthesis Without Text. - Shekhar Nayak; C. Shiva Kumar; Gundluru Ramesh; Saurabhchand Bhati; K. Sri Rama Murty (GlobalSIP, 2019)

Zero Resource Speaking Rate Estimation from Change Point Detection of Syllable-like Units. - Shekhar Nayak; Saurabhchand Bhati; K. Sri Rama Murty (ICASSP, 2019)

Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings. - Saurabhchand Bhati; Shekhar Nayak; K. Sri Rama Murty; Najim Dehak (INTERSPEECH, 2019)

Instantaneous Frequency Features for Noise Robust Speech Recognition. - Shekhar Nayak; Dhar B. Shashank; Saurabhchand Bhati; Koilakuntla Bramhendra; K. Sri Rama Murty (NCC, 2019)

Unsupervised Speech Signal-to-Symbol Transformation for Language Identification. - Saurabhchand Bhati; Shekhar Nayak; Sri Rama Murty Kodukula (Circuits Syst. Signal Process., 2020)

Teager Energy Subband Filtered Features for Near and Far-Field Automatic Speech Recognition. - Madhu R. Kamble; Shekhar Nayak; M. Ali Basha Shaik; Shakti P. Rath; Vikram Vij; Hemant A. Patil (APSIPA ASC, 2021)

Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech. - Xiyuan Gao; Shekhar Nayak; Matt Coler (INTERSPEECH, 2022)

Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations. - Le Minh Nguyen 002; Shekhar Nayak; Matt Coler (SLT, 2022)

SarcasticSpeech: Speech Synthesis for Sarcasm in Low-Resource Scenarios. - Zhu Li; Xiyuan Gao; Shekhar Nayak; Matt Coler (SSW, 2023)

Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data. - Spyretta Leivaditi; Tatsunari Matsushima; Matt Coler; Shekhar Nayak; Vass Verkhodanova (INTERSPEECH, 2024)

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm. - Zhu Li; Xiyuan Gao; Yuqing Zhang 003; Shekhar Nayak; Matt Coler (INTERSPEECH, 2024)

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm. - Zhu Li; Xiyuan Gao; Yuqing Zhang; Shekhar Nayak; Matt Coler (CoRR, 2024)

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation. - Xiyuan Gao; Shubhi Bansal; Kushaan Gowda; Zhu Li; Shekhar Nayak; Nagendra Kumar 001; Matt Coler (CoRR, 2024)

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection. - Devraj Raghuvanshi; Xiyuan Gao; Zhu Li; Shubhi Bansal; Matt Coler; Nagendra Kumar 001; Shekhar Nayak (ICASSP, 2025)

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection. - Zhu Li; Yuqing Zhang; Xiyuan Gao; Shekhar Nayak; Matt Coler (CoRR, 2025)

Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis. - Zhu Li; Yuqing Zhang; Xiyuan Gao; Devraj Raghuvanshi; Nagendra Kumar 001; Shekhar Nayak; Matt Coler (CoRR, 2025)