Contextual effects on vowel duration
Speech Communication
Segment and syllable duration in Australian English
Speech Communication - Speech science and technology: a selection from the papers presented at the Fourth International Conference in Speech Science and Technology (SST-92)
Fuzzy Systems as Universal Approximators
IEEE Transactions on Computers
Characterisation of rhythmic patterns for text-to-speech synthesis
Speech Communication
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Automatic induction of fuzzy decision trees and its application to power system security assessment
Fuzzy Sets and Systems - Special issue on applications of fuzzy theory in electronic power systems
Globally Optimal Fuzzy Decision Trees for Classification and Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Machine Learning
Data-driven generation of F0 contours using a superpositional model
Speech Communication
A complete fuzzy decision tree technique
Fuzzy Sets and Systems - Theme: Learning and modeling
Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )
Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )
Representation of Random Waveforms by Relational Trees
IEEE Transactions on Computers
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy decision trees: issues and methods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Look-ahead based fuzzy decision tree induction
IEEE Transactions on Fuzzy Systems
The shape of fuzzy sets in adaptive function approximation
IEEE Transactions on Fuzzy Systems
A modular holistic approach to prosody modelling for Standard Yorùbá speech synthesis
Computer Speech and Language
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In this paper, we present syllable-based duration modelling in the context of a prosody model for Standard Yoruba (SY) text-to-speech (TTS) synthesis applications. Our prosody model is conceptualised around a modular holistic framework. This framework is implemented using the Relational Tree (R-Tree) techniques. An important feature of our R-Tree framework is its flexibility in that it facilitates the independent implementation of the different dimensions of prosody, i.e. duration, intonation, and intensity, using different techniques and their subsequent integration. We applied the Fuzzy Decision Tree (FDT) technique to model the duration dimension. In order to evaluate the effectiveness of FDT in duration modelling, we have also developed a Classification And Regression Tree (CART) based duration model using the same speech data. Each of these models was integrated into our R-Tree based prosody model. We performed both quantitative (i.e. Root Mean Square Error (RMSE) and Correlation (Corr)) and qualitative (i.e. intelligibility and naturalness) evaluations on the two duration models. The results show that CART models the training data more accurately than FDT. The FDT model, however, shows a better ability to extrapolate from the training data since it achieved a better accuracy for the test data set. Our qualitative evaluation results show that our FDT model produces synthesised speech that is perceived to be more natural than our CART model. In addition, we also observed that the expressiveness of FDT is much better than that of CART. That is because the representation in FDT is not restricted to a set of piece-wise or discrete constant approximation. We, therefore, conclude that the FDT approach is a practical approach for duration modelling in SY TTS applications.