Method for detecting emotions involving subspace specialists

To detect and determine a current emotional state (CES) of a human being from a spoken speech input (SI), it is suggested in a method for detecting emotions to identify first and second feature classes (A, E) with, in particular distinct, dimensions of an underlying emotional manifold (EM) or emotio...

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Bibliographische Detailangaben
Hauptverfasser: TATO RAQUEL, KEMP THOMAS, MARASEK KRZYSTOF
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:To detect and determine a current emotional state (CES) of a human being from a spoken speech input (SI), it is suggested in a method for detecting emotions to identify first and second feature classes (A, E) with, in particular distinct, dimensions of an underlying emotional manifold (EM) or emotional space (ES) and/or with subspaces thereof.