Academic Journal

A unified deep learning framework for estimating acoustic context parameters from first order ambisonic speech recordings.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A unified deep learning framework for estimating acoustic context parameters from first order ambisonic speech recordings.
Συγγραφείς: Meng, Hanyu, Breebaart, Jeroen, Stoddard, Jeremy, Sethu, Vidhyasaharan, Ambikairajah, Eliathamby
Πηγή: Journal on Audio, Speech & Music Processsing; 1/13/2026, Vol. 2026 Issue 1, p1-19, 19p
Βάση Δεδομένων: Biomedical Index
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PubType: Academic Journal
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  Data: Journal on Audio, Speech & Music Processsing; 1/13/2026, Vol. 2026 Issue 1, p1-19, 19p
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      – Type: doi
        Value: 10.1186/s13636-025-00443-0
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1
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      – TitleFull: A unified deep learning framework for estimating acoustic context parameters from first order ambisonic speech recordings.
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            NameFull: Meng, Hanyu
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              M: 01
              Text: 1/13/2026
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              Y: 2026
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              Value: 2026
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