Priyadarshini Dwivedi

Orcid: 0009-0009-6110-8086

According to our database1, Priyadarshini Dwivedi authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Feature Transformation for Fast and Efficient Learning in Near-Field Source Localization.
IEEE Trans. Artif. Intell., March, 2026

2025
Low Resource Verse Dataset and Prosodic Feature Integration for Sanskrit ASR.
Proceedings of the National Conference on Communications, 2025

Spherical Harmonics Intensity Features for Improved Near-Field DOA Estimation.
Proceedings of the National Conference on Communications, 2025

Sparse Bayesian Integrated CNN Framework for Enhanced Acoustic Source Localization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study.
IEEE Trans. Artif. Intell., August, 2024

Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework.
IEEE Trans. Artif. Intell., August, 2024

2023
Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors.
Pattern Recognit. Lett., January, 2023

Sniper Localization using Acoustic Signal Processing based on Time of Arrivals.
Proceedings of the 28th National Conference on Communications, 2023

Long-Term Temporal Audio Source Localization using SH-CRNN.
Proceedings of the 28th National Conference on Communications, 2023

2022
DOA Estimation using Multiclass-SVM in Spherical Harmonics Domain.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

Joint DOA Estimation in Spherical Harmonics Domain using Low Complexity CNN.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

Hybrid SH-CNN-MP Approach for Super Resolution DOA Estimation.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022


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