Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
The production and recognition of emotions in speech: features and algorithms
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Developments in Corpus-Based Speech Synthesis: Approaching Natural Conversational Speech
IEICE - Transactions on Information and Systems
2005 Special Issue: Beyond emotion archetypes: Databases for emotion modelling using neural networks
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
Ensemble methods for spoken emotion recognition in call-centres
Speech Communication
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Objective and subjective evaluation of an expressive speech corpus
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
The IBM expressive text-to-speech synthesis system for American English
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Generating expressive speech for storytelling applications
IEEE Transactions on Audio, Speech, and Language Processing
Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Microintonation analysis of emotional speech
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Comparison of complementary spectral features of emotional speech for german, czech, and slovak
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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This paper presents an automatic system able to enhance expressiveness in speech corpora recorded from acted or stimulated speech. The system is trained with the results of a subjective evaluation carried out on a reduced set of the original corpus. Once the system has been trained, it is able to check the complete corpus and perform an automatic pruning of the unclear utterances, i.e. with expressive styles which are different from the intended corpus. The content which most closely matches the subjective classification remains in the resulting corpus. An expressive speech corpus in Spanish, designed and recorded for speech synthesis purposes, has been used to test the presented proposal. The automatic refinement has been applied to the whole corpus and the result has been validated with a second subjective test.