Priyadarshini Dwivedi

About

PhD with the Department of Electrical Engineering, IIT Kanpur, India. My research focuses mainly on the following areas: Machine Learning and its application in Audio Signal Processing, Multi-channel Signal Processing, Speech Signal Processing, and Array Signal Analysis in Spherical Harmonics Domain.

Employment

• Indian Institute of Technology Kanpur Visvesvaraya Postdoctoral Researcher
• Indian Institute of Technology Kanpur

Education

• Indian Institute of Technology Kanpur

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Leveraging Deep Bayesian Inference for Efficient Multiple Source Localization with Spherical Harmonics
  2026 International Conference on Signal Processing and Communications (SPCOM) 2026 DOI: 10.1109/SPCOM71105.2026.11623044
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• Multimodal Speaker Separation in Audio-Visual Scene Using Spherical Microphone Array
  2026 International Conference on Signal Processing and Communications (SPCOM) 2026 DOI: 10.1109/SPCOM71105.2026.11623009
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• Regularized Multi-Measurement Sparse Decomposition for Time-Domain Ambisonics Upscaling
  2026 International Conference on Signal Processing and Communications (SPCOM) 2026 DOI: 10.1109/SPCOM71105.2026.11622958
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• Feature Transformation for Fast and Efficient Learning in Near-Field Source Localization
  IEEE Transactions on Artificial Intelligence 2026 DOI: 10.1109/TAI.2025.3597585
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• Low Resource Verse Dataset and Prosodic Feature Integration for Sanskrit ASR
  2025 National Conference on Communications (NCC) 2025 DOI: 10.1109/NCC63735.2025.10983176
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• Sparse Bayesian Integrated CNN Framework for Enhanced Acoustic Source Localization
  ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings 2025 DOI: 10.1109/ICASSP49660.2025.10890044
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• Spherical Harmonics Intensity Features for Improved Near-Field DOA Estimation
  2025 National Conference on Communications (NCC) 2025 DOI: 10.1109/NCC63735.2025.10983561
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• Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study
  IEEE Transactions on Artificial Intelligence 2024 DOI: 10.1109/TAI.2024.3355323
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• Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework
  IEEE Transactions on Artificial Intelligence 2024 DOI: 10.1109/TAI.2024.3352530
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• Binaural Source Localization in Median Plane using Learning based Method for Robot Audition
  2023
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