Add to ORKGThis report contains the supplementary material for the paper titled ‘On Acoustic Emotion Recognition: Compensating for Covariate Shift’ which has been submitted to IEEE Transactions on Audio Speech and Language Processing. This report contains the SD-CV, SI-CV and inter-database results on three commonly used acted emotional speech databases
In recent years the interest has grown, for automatically on the one hand detect and interpret emoti...
This paper presents results from a study examining emotional speech using acoustic features and thei...
In this paper, we consider both speaker dependent and listener dependent aspects in the assessment o...
The objective of the research presented in this thesis was to systematically investigate the computa...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
Emotion recognition from Audio signal Recognition is a recent research topic in the Human Computer I...
Abstract. The human speech contains and reflects information about the emotional state of the speake...
AbstractRecognizing emotion from speech has become one the active research themes in speech processi...
As automatic emotion recognition based on speech matures, new challenges can be faced. We therefore ...
Pattern recognition tasks often face the situation that training data are not fully representative o...
Due to the advance of speech technologies and their increasing usage in various applications, automa...
Machine-based emotional intelligence is a requirement for natural interaction between humans and com...
© 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
This repository contains the datasets used in the article "Shared Acoustic Codes Underlie Emotional ...
In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice...
In recent years the interest has grown, for automatically on the one hand detect and interpret emoti...
This paper presents results from a study examining emotional speech using acoustic features and thei...
In this paper, we consider both speaker dependent and listener dependent aspects in the assessment o...
The objective of the research presented in this thesis was to systematically investigate the computa...
With increased interest of human-computer/human-human interactions, systems deducing and identifying...
Emotion recognition from Audio signal Recognition is a recent research topic in the Human Computer I...
Abstract. The human speech contains and reflects information about the emotional state of the speake...
AbstractRecognizing emotion from speech has become one the active research themes in speech processi...
As automatic emotion recognition based on speech matures, new challenges can be faced. We therefore ...
Pattern recognition tasks often face the situation that training data are not fully representative o...
Due to the advance of speech technologies and their increasing usage in various applications, automa...
Machine-based emotional intelligence is a requirement for natural interaction between humans and com...
© 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
This repository contains the datasets used in the article "Shared Acoustic Codes Underlie Emotional ...
In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice...
In recent years the interest has grown, for automatically on the one hand detect and interpret emoti...
This paper presents results from a study examining emotional speech using acoustic features and thei...
In this paper, we consider both speaker dependent and listener dependent aspects in the assessment o...