Multi-Source Direction-of-Arrival Estimation Using Improved Estimation Consistency Method
Rohith Mars (1), Hiroyuki Ehara (2), Srikanth Nagisetty (1), Chong, Soon Lim (1) ((1) Panasonic R&D Center, Singapore, (2) Panasonic Corporation,, Japan)

TL;DR
This paper proposes improved estimation consistency methods for multi-source DOA estimation in reverberant and noisy environments using spherical microphone arrays, enhancing robustness and accuracy over existing approaches.
Contribution
The paper introduces modified parametric weights to enhance the estimation consistency approach for better multi-source DOA estimation in challenging acoustic conditions.
Findings
Superior performance over existing EC methods
Effective in reverberant and noisy environments
Handles closely spaced sources better
Abstract
We address the problem of estimating direction-of-arrivals (DOAs) for multiple acoustic sources in a reverberant environment using a spherical microphone array. It is well-known that multi-source DOA estimation is challenging in the presence of room reverberation, environmental noise and overlapping sources. In this work, we introduce multiple schemes to improve the robustness of estimation consistency (EC) approach in reverberant and noisy conditions through redefined and modified parametric weights. Simulation results show that our proposed methods achieve superior performance compared to the existing EC approach, especially when the sources are spatially close in a reverberant environment.
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Taxonomy
TopicsSpeech and Audio Processing · Direction-of-Arrival Estimation Techniques · Advanced Adaptive Filtering Techniques
