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Multi-microphone fusion for detection of speech and ...
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由 P Giannoulis 著作2014被引用 28 次 — In this paper, we examine the challenging problem of detecting acoustic events and voice activity in smart indoors environments, equipped with multiple ...
Multi-microphone fusion for detection of speech and acoustic ...
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In this paper, we examine the challenging problem of detecting acoustic events and voice activity in smart indoors environments, equipped with multiple ...
multi-microphone fusion for detection of speech
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由 P Giannoulis 著作被引用 28 次 — ABSTRACT. In this paper, we examine the challenging problem of de- tecting acoustic events and voice activity in smart indoors.
(PDF) Multi-microphone fusion for detection of speech and ...
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2016年1月18日 — In this paper, we examine the challenging problem of detecting acoustic events and voice activity in smart indoors environments, ...
[PDF] Multi-microphone fusion for detection of speech and ...
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This paper focuses on channel combination strategies, aiming to take advantage of the multiple microphones installed in the smart space, capturing the ...
Multi-Microphone Fusion for Detection of Speech and Acoustic ...
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Multi-Microphone Fusion for Detection of Speech and Acoustic Events in Smart Spaces. Creators. Giannoulis, Panagiotis · Katsamanis, Athanassios · Maragos, ...
Lokasi: Multi-Microphone Fusion for Detection of Speech and ...
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Multi-Microphone Fusion for Detection of Speech and Acoustic Events in Smart Spaces. Tersimpan di: Main Authors: Giannoulis, Panagiotis, Katsamanis ...
Panagiotis Giannoulis - Google 学术搜索
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Multi-microphone fusion for detection of speech and acoustic events in smart spaces. P Giannoulis, G Potamianos, A Katsamanis, P Maragos. 2014 22nd European ...
Fusion of audio and video modalities for detection ...
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Multi-microphone fusion for detection of speech and acoustic events in smart spaces ... smart indoors environments, equipped with multiple microphones. In ...
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Acoustic scene classification using inter- and intra-subarray ...
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由 T Kawamura 著作2024 — In this study, we investigate the effectiveness of spatial features in acoustic scene classification using distributed microphone arrays.
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