Maximum Likelihood Estimation of the Direction of Sound In A Reverberant Noisy Environment
Not on the map. Why?
Abstract (arXiv)
We describe a new method for estimating the direction of sound in a reverberant environment from basic principles of sound propagation. The method utilizes SNR-adaptive features from time-delay and energy of the directional components after acoustic wave decomposition of the observed sound field to estimate the line-of-sight direction under noisy and reverberant conditions. The effectiveness of the approach is established with measured data of different microphone array configurations under various usage scenarios.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 18 references that are in the map. First posted on arXiv 24 Jun 2024.
Builds on
4 of 18 references.
References · 4
- 2018Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networkscited by 85
- 2021A Survey of Sound Source Localization with Deep Learning Methodscited by 46
- 2020Time Domain Velocity Vector for Retracing the Multipath Propagationcited by 3
- 2019On Acoustic Modeling for Broadband Beamformingcited by 1
Built on by
Not cited yet.