Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Neural Networks and Speech Processing
Neural Networks and Speech Processing
A multistrategy approach to improving pronunciation by analogy
Computational Linguistics
A speech synthesizer for Persian text using a neural network with a smooth ergodic HMM
ACM Transactions on Asian Language Information Processing (TALIP)
Alignment algorithms for learning to read aloud
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A framework for mixed-language text-to-speech synthesis
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Toward language-independent text-to-speech synthesis
WSEAS Transactions on Information Science and Applications
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A speech synthesizer based on an artificial neural network (ANN) is being developed for application to deeply embedded systems for language-independent speech commands on hands-free interfaces. A feed-forward, backpropagation, artificial neural network has been trained for this purpose using a custom-developed, regular expression-based, text-to-phone transcription engine to generate training patterns. Initial experimental results show the expected properties of language independence and in-system learning capability of this approach. The ANN demonstrates the capacity to generalize and map the words missing at training time, as well as to reduce contradictions related to different pronunciations for the same word.