From text to speech: the MITalk system
From text to speech: the MITalk system
Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
The role of voice quality in communicating emotion, mood and attitude
Speech Communication - Special issue on speech and emotion
Speech Emotion Recognition System Based on BP Neural Network in Matlab Environment
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Spectrum Modification for Emotional Speech Synthesis
Multimodal Signals: Cognitive and Algorithmic Issues
Emotional speech synthesis by XML file using interactive genetic algorithms
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Speech emotion recognition research based on wavelet neural network for robot pet
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Designing the emotional content of a robotic speech signal
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
Spoken emotion recognition using hierarchical classifiers
Computer Speech and Language
Segment-based emotion recognition from continuous Mandarin Chinese speech
Computers in Human Behavior
The role of voice quality and prosodic contour in affective speech perception
Speech Communication
Classification of emotional speech using 3DEC hierarchical classifier
Speech Communication
Fuzzy cognitive maps for artificial emotions forecasting
Applied Soft Computing
International Journal of Speech Technology
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All speech produced by humans includes information about the speaker, including conveying the emotional state of the speaker. It is thus desirable to include vocal affect in any synthetic speech where improving the naturalness of the speech produced is important. However, the speech factors which convey affect are poorly understood, and their implementation in synthetic speech systems is not yet commonplace. A prototype system for the production of emotional synthetic speech using a commercial formant synthesiser was developed based on vocal emotion descriptions given in the literature. This paper describes work to improve and augment this system, based on a detailed investigation of emotive material spoken by two actors (one amateur, one professional). The results of this analysis are summarised, and were used to enhance the existing emotion rules used in the speech synthesis system. The enhanced system was evaluated by naive listeners in a perception experiment, and the simulated emotions were found to be more realistic than in the original version of the system.