Frame vs. turn-level: emotion recognition from speech considering static and dynamic processing
- Sprache
-
Englisch
- Identifier
-
1247440222
- Beteiligte Personen und Organisationen
- DOI
-
10.1007/978-3-540-74889-2_13
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Vlasenko, Bogdan
- Schuller, Björn
- Wendemuth, Andreas
- Rigoll, Gerhard
Ähnliche Objekte (12)
Recognising interest in conversational speech - comparing bag of frames and supra-segmental features
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
Timing levels in segment-based speech emotion recognition
Combining frame and turn-level information for robust recognition of emotions within speech
Static and Dynamic Methods for Emotion Recognition from Physiological Signals
Hidden Markov model-based speech emotion recognition
Optimization of discriminative models for speech and handwriting recognition
Hybrid and End-to-End Approaches for Noise Robust Automatic Speech Recognition
Recognition of interest in human conversational speech
Recognition of spontaneous emotions by speech within automotive environment
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement
Affect-robust speech recognition by dynamic emotional adaptation
Recognising interest in conversational speech - comparing bag of frames and supra-segmental features
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
Timing levels in segment-based speech emotion recognition
Combining frame and turn-level information for robust recognition of emotions within speech
Static and Dynamic Methods for Emotion Recognition from Physiological Signals
Hidden Markov model-based speech emotion recognition
Optimization of discriminative models for speech and handwriting recognition
Hybrid and End-to-End Approaches for Noise Robust Automatic Speech Recognition
Recognition of interest in human conversational speech
Recognition of spontaneous emotions by speech within automotive environment
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement
Affect-robust speech recognition by dynamic emotional adaptation
Recognising interest in conversational speech - comparing bag of frames and supra-segmental features
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
Timing levels in segment-based speech emotion recognition
Combining frame and turn-level information for robust recognition of emotions within speech
Static and Dynamic Methods for Emotion Recognition from Physiological Signals
Hidden Markov model-based speech emotion recognition
Optimization of discriminative models for speech and handwriting recognition
Hybrid and End-to-End Approaches for Noise Robust Automatic Speech Recognition
Recognition of interest in human conversational speech
Recognition of spontaneous emotions by speech within automotive environment
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement