Sidharth 🎧
Sidharth

Speech/Audio AI Researcher

About Me

I am an incoming PhD student at the Soundability Lab at University of Michigan CSE dept. advised by Dr. Dhruv Jain. Currently I am a second year master’s student in the Department of Electrical and Computer Engineering at the University of Washington, Seattle. I reveived my bachelor’s in Electronics and Instrumentation Engineering from College of Engineering Trivandrum.

My research interests broadly lie in speech and language processing, computational neuroscience, and machine learning.

In University of Washington, I am fortunate to be advised by Dr. Jeffrey Herron and Dr. Rajesh Rao in Neural Systems lab where I work alongside Vishwas Sathish and Samantha Sun on identifying potential biomarker for pain from electrophysiological signals.

I am also a part of Mobile Intelligence lab where I work on developing a volume controlled target speech extraction in noisy environments alongside Tuochao Chen, Malek Itani and Dr. Shyam Gollakota.

Prior to joining University of Washington, I was a research intern at the Learning and Extraction of Acoustic Patterns (LEAP) lab where I worked alongside Dr. Sriram Ganapathy on the DISPLACE 2023 Challenge.

Download CV
Interests
  • Artificial Intelligence
  • Speech and Audio Processing
  • HCI
  • Computational Neuroscience
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
Recent Publications
(2025). PainDECOG: Machine Learning-Based Identification of Pain Biomarkers from sEEG Signals. arXiv preprint arXiv:2502.10621.
(2023). CSP-LSTM Based Emotion Recognition from EEG Signals. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
(2023). Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling. arXiv preprint arXiv:2409.03377.
(2023). The DISPLACE challenge 2023-diarization of speaker and language in conversational environments. Proc. Interspeech 2023.
(2023). Emotion detection from EEG using transfer learning. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Recent & Upcoming Talks
Recent News

✅ Got my PhD admit

Excited to share that I will be joining University of Michigan, CSE for my PhD in Fall 2025