Sidharth

🎧

Sidharth (Sid)

Speech and Audio AI + HCI Researcher

Soundability Lab, Computer Science and Engineering, University of Michigan, Ann Arbor

About Me

I am a first year PhD student at the Soundability Lab at University of Michigan CSE dept. advised by Dr. Dhruv Jain, where I focus on developing deep learning algorithms for hearables. Prior to joining UMich, I graduated with an MS in the Department of Electrical and Computer Engineering at the University of Washington, Seattle where I was advised by Dr. Jeffrey Herron and Dr. Rajesh Rao in Neural Systems lab.

My current research interests broadly lie in speech and audio AI alogrithms for applications like target speech extraction, and enhancement.

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Interests

Artificial Intelligence
Speech and Audio Processing
HCI

Education

PhD, Computer Science
University of Michigan, Ann Arbor
MS, Electrical and Computer Engineering
University of Washington, Seattle
B.Tech., Applied Electronics and Instrumentation Engineering with minor in Mathematics
College of Engineering, Trivandrum

📚 My Research

I mainly work on speech processing and AI in general. My current work includes speech enhancement, ASR and TTS using state-space-models. If you wish to know more, shoot me an email.

Featured Publications

Speech Enhancement

Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling

Sep 5, 2023

Speaker Diarization

The DISPLACE challenge 2023-diarization of speaker and language in conversational environments

Aug 20, 2023

Recent Publications

Sidharth, Vishwas Sathish, Shweta Bansal, Samantha Sun, Timmy Pham, Kurt Weaver, Rajesh PN Rao, Jeffrey Herron (2025). PainDECOG: Machine Learning-Based Identification of Pain Biomarkers from sEEG Signals. arXiv preprint arXiv:2502.10621.

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Jerrin Thomas Panachakel, H Ranjana, Sidharth Sidharth, Ashish Abraham Samuel, Others (2023). CSP-LSTM Based Emotion Recognition from EEG Signals. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

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Yan Ru Pei, Ritik Shrivastava, FNU Sidharth (2023). Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling. arXiv preprint arXiv:2409.03377.

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Shikha Baghel, Shreyas Ramoji, Sidharth, Ranjana H, Prachi Singh, Somil Jain, Pratik Roy Chowdhuri, Kaustubh Kulkarni, Swapnil Padhi, Deepu Vijayasenan, Others (2023). The DISPLACE challenge 2023-diarization of speaker and language in conversational environments. Proc. Interspeech 2023.

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Sidharth, Ashish Abraham Samuel, H Ranjana, Jerrin Thomas Panachakel, Others (2023). Emotion detection from EEG using transfer learning. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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