Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution Article Swipe

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Takuma Otsuka , Katsuhiko Ishiguro , Hiroshi Sawada , Hiroshi G. Okuno ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1609/aaai.v26i1.8376

Sound source localization and separation with permutation resolution are essential for achieving a computational auditory scene analysis system that can extract useful information from a mixture of various sounds. Because existing methods cope separately with these problems despite their mutual dependence, the overall result with these approaches can be degraded by any failure in one of these components. This paper presents a unified Bayesian framework to solve these problems simultaneously where localization and separation are regarded as a clustering problem. Experimental results confirm that our method outperforms state-of-the-art methods in terms of the separation quality with various setups including practical reverberant environments.

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Artificial Intelligence

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Permutation (music) Separation (statistics) Unification Computer science Bayesian probability Source separation Resolution (logic) Cluster analysis Sound (geography) Hierarchy Mutual information Algorithm Artificial intelligence Machine learning Acoustics Market economy Physics Economics Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.1609/aaai.v26i1.8376
PDF: https://ojs.aaai.org/index.php/AAAI/article/download/8376/8235
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Cited By: 13
References: 52
Related Works: 10
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DOI: https://doi.org/10.1609/aaai.v26i1.8376

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Title: Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-09-20

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Authors: Takuma Otsuka, Katsuhiko Ishiguro, Hiroshi Sawada, Hiroshi G. Okuno

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Landing page: https://doi.org/10.1609/aaai.v26i1.8376

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Concepts: Permutation (music), Separation (statistics), Unification, Computer science, Bayesian probability, Source separation, Resolution (logic), Cluster analysis, Sound (geography), Hierarchy, Mutual information, Algorithm, Artificial intelligence, Machine learning, Acoustics, Market economy, Physics, Economics, Programming language

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Cited by: 13

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Citations by year (recent): 2024: 1, 2020: 1, 2019: 2, 2017: 1, 2016: 2

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