Maximum Likelihood Estimation of the Direction of Sound In A Reverberant Noisy Environment
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866907978095919104 |
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| author | Mansour, Mohamed F. |
| author_facet | Mansour, Mohamed F. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_17103 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Maximum Likelihood Estimation of the Direction of Sound In A Reverberant Noisy Environment Mansour, Mohamed F. Sound Machine Learning Audio and Speech Processing 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. |
| title | Maximum Likelihood Estimation of the Direction of Sound In A Reverberant Noisy Environment |
| topic | Sound Machine Learning Audio and Speech Processing |
| url | https://arxiv.org/abs/2406.17103 |