Learning Discriminative Features for Speaker Identification and Verification. - Sarthak Yadav; Atul Rai (INTERSPEECH, 2018)

Prediction of Ubiquitination Sites Using UbiNets. - Sarthak Yadav; Manoj Gupta; Ankur Singh Bist (Adv. Fuzzy Syst., 2018)

Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition. - Sarthak Yadav; Atul Rai (ICASSP, 2020)

End-to-End Bengali Speech Recognition. - Sayan Mandal; Sarthak Yadav; Atul Rai (CoRR, 2020)

GISE-51: A scalable isolated sound events dataset. - Sarthak Yadav; Mary Ellen Foster (CoRR, 2021)

Learning neural audio features without supervision. - Sarthak Yadav; Neil Zeghidour (INTERSPEECH, 2022)

Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. - Sarthak Yadav; Tilak Purohit; Zohreh Mostaani; Bogdan Vlasenko; Mathew Magimai-Doss (MuSe @ ACM Multimedia, 2022)

Towards Learning Emotion Information from Short Segments of Speech. - Tilak Purohit; Sarthak Yadav; Bogdan Vlasenko; S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2023)

Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. - Sarthak Yadav; Sergios Theodoridis; Lars Kai Hansen; Zheng-Hua Tan (CoRR, 2023)

On Permutation Selectors and their Applications in Ad-Hoc Radio Networks Protocols. - Jordan Kuschner; Yugarshi Shashwat; Sarthak Yadav; Marek Chrobak (ALGOWIN, 2024)

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners. - Sarthak Yadav; Sergios Theodoridis; Lars Kai Hansen; Zheng-Hua Tan (ICLR, 2024)

Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations. - Sarthak Yadav; Zheng-Hua Tan (INTERSPEECH, 2024)

Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs. - Sarthak Yadav; Sergios Theodoridis; Zheng-Hua Tan (CoRR, 2024)

AudioMAE++: learning better masked audio representations with SwiGLU FFNs. - Sarthak Yadav; Sergios Theodoridis; Zheng-Hua Tan (CoRR, 2025)