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Towards multidimensional attentive voice tracking—estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling.

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Title: Towards multidimensional attentive voice tracking—estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling.
Authors: Luberadzka, Joanna1, joa.luberadzka@gmail.com, Kayser, Hendrik1, Lücke, Jörg1, Hohmann, Volker1
Source: EURASIP Journal on Audio Speech & Music Processing; 5/22/2024, Vol. 2024 Issue 1, p1-18, 18p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 177393047
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PubType: Academic Journal
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  Data: Towards multidimensional attentive voice tracking—estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling.
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  Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Audio+Speech+%26+Music+Processing%22">EURASIP Journal on Audio Speech & Music Processing</searchLink>; 5/22/2024, Vol. 2024 Issue 1, p1-18, 18p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s13636-024-00350-w
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      – Code: eng
        Text: English
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      – TitleFull: Towards multidimensional attentive voice tracking—estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling.
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            NameFull: Luberadzka, Joanna
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            NameFull: Kayser, Hendrik
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            – D: 22
              M: 05
              Text: 5/22/2024
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              Y: 2024
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              Value: 2024
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