Emotional speech: towards a new generation of databases
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
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
IEEE Transactions on Audio, Speech, and Language Processing
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
High quality emotional HMM-Based synthesis in spanish
NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
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This paper presents the validation of the expressiveness of an acted oral corpus produced to be used in speech synthesis. Firstly, an objective validation has been conducted by means of automatic emotion identification techniques using statistical features extracted from the prosodic parameters of speech. Secondly, a listening test has been performed with a subset of utterances. The relationship between both objective and subjective evaluations is analyzed and the obtained conclusions can be useful to improve the following steps related to expressive speech synthesis.