Due to the advance of speech technologies and their increasing usage in various applications, automatic recognition of emotions in speech represents one of the emerging fields in human-computer interaction. This paper deals with several topics related to automatic emotional speech recognition, most notably with the improvement of recognition accuracy by lowering the dimensionality of the feature space and evaluation of the relevance of particular feature types. The research is focused on the classification of emotional speech into five basic emotional classes (anger, joy, fear, sadness and neutral speech) using a recorded corpus of emotional speech in Serbian
An essential step to achieving human-machine speech communication with the naturalness of communicat...
Abstract Recognizing emotion from speech has become one the active research themes in speech process...
With the advent of computational technology, human computer interaction (HCI) has gone beyond simple...
Emotion recognition from Audio signal Recognition is a recent research topic in the Human Computer I...
In this thesis, we describe extensive experiments on the classification of emotions from speech usin...
International audienceThe classification of emotional speech is a topic in speech recognition with m...
In the last decade, research in Speech Emotion Recognition (SER) has become a major endeavour in Hum...
Affective computing is becoming increasingly significant in the interaction between humans and machi...
Abstract. The human speech contains and reflects information about the emotional state of the speake...
Developing accurate emotion recognition systems requires extracting suitable features of these emoti...
As automatic emotion recognition based on speech matures, new challenges can be faced. We therefore ...
AbstractRecognizing emotion from speech has become one the active research themes in speech processi...
“Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and d...
This paper presents an approach to recognition of human emotions from speech. Seven emotions are rec...
Affective computing studies and develops systems capable of detecting humans affects. The search for...
An essential step to achieving human-machine speech communication with the naturalness of communicat...
Abstract Recognizing emotion from speech has become one the active research themes in speech process...
With the advent of computational technology, human computer interaction (HCI) has gone beyond simple...
Emotion recognition from Audio signal Recognition is a recent research topic in the Human Computer I...
In this thesis, we describe extensive experiments on the classification of emotions from speech usin...
International audienceThe classification of emotional speech is a topic in speech recognition with m...
In the last decade, research in Speech Emotion Recognition (SER) has become a major endeavour in Hum...
Affective computing is becoming increasingly significant in the interaction between humans and machi...
Abstract. The human speech contains and reflects information about the emotional state of the speake...
Developing accurate emotion recognition systems requires extracting suitable features of these emoti...
As automatic emotion recognition based on speech matures, new challenges can be faced. We therefore ...
AbstractRecognizing emotion from speech has become one the active research themes in speech processi...
“Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and d...
This paper presents an approach to recognition of human emotions from speech. Seven emotions are rec...
Affective computing studies and develops systems capable of detecting humans affects. The search for...
An essential step to achieving human-machine speech communication with the naturalness of communicat...
Abstract Recognizing emotion from speech has become one the active research themes in speech process...
With the advent of computational technology, human computer interaction (HCI) has gone beyond simple...