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

Modeling sparse spatio-temporal representations for no-reference video quality assessment. - P. Muhammed Shabeer; Saurabhchand Bhati; Sumohana S. Channappayya (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)

Bottom-Up Unsupervised Word Discovery via Acoustic Units. - Saurabhchand Bhati; Chunxi Liu; Jesús Villalba 001; Jan Trmal; Sanjeev Khudanpur; Najim Dehak (GlobalSIP, 2019)

LSTM Siamese Network for Parkinson's Disease Detection from Speech. - Saurabhchand Bhati; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (GlobalSIP, 2019)

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

Speaker Embedding Extraction with Virtual Phonetic Information. - Sreekanth Sankala; B. Shaik Mohammad Rafi; K. Sri Rama Murty; Saurabhchand Bhati (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)

Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (INTERSPEECH, 2020)

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

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Guided Contrastive Self-Supervised Pre-Training for Automatic Speech Recognition. - Aparna Khare; Minhua Wu; Saurabhchand Bhati; Jasha Droppo; Roland Maas (SLT, 2022)

Discovering phonetic inventories with crosslingual automatic speech recognition. - Piotr Zelasko; Siyuan Feng 001; Laureano Moro-Velázquez; Ali Abavisani; Saurabhchand Bhati; Odette Scharenborg; Mark Hasegawa-Johnson; Najim Dehak (Comput. Speech Lang., 2022)

Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Audio-Visual Neural Syntax Acquisition. - Cheng-I Jeff Lai; Freda Shi; Puyuan Peng; Yoon Kim; Kevin Gimpel; Shiyu Chang; Yung-Sung Chuang; Saurabhchand Bhati; David D. Cox; David Harwath; Yang Zhang 001; Karen Livescu; et al. (ASRU, 2023)

Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2023)

Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (CoRR, 2023)

DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (SLT, 2024)

State-Space Large Audio Language Models. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (CoRR, 2024)

Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. - Edson Araujo; Andrew Rouditchenko; Yuan Gong 001; Saurabhchand Bhati; Samuel Thomas 001; Brian Kingsbury; Leonid Karlinsky; Rogério Feris; James R. Glass; Hilde Kuehne (CVPR, 2025)

Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? - Andrew Rouditchenko; Saurabhchand Bhati; Edson Araujo; Samuel Thomas 001; Hilde Kuehne; Rogério Feris; James R. Glass (CoRR, 2025)

USAD: Universal Speech and Audio Representation via Distillation. - Heng-Jui Chang; Saurabhchand Bhati; James Glass 001; Alexander H. Liu (CoRR, 2025)

Recognizing Dementia from Neuropsychological Tests with State Space Models. - Liming Wang; Saurabhchand Bhati; Cody Karjadi; Rhoda Au; James R. Glass (CoRR, 2025)