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- W2116855021 abstract "Investigations have been carried out into the use of an optimized computing structure to synthesize high quality accented speech. The computing structure forms a seven formant parallel speech synthesizer where each element of the structure comprises a neural network adjusting the outputs of a rule base. Results are presented as to the effectiveness of the hybrid rule based/rule following element, in comparison to a standard neural network, when modeling a single FET circuit and for the performance of both a cascade and global hybrid system, in comparison to a series configuration. When the hybrid structure is applied to the synthesis of accented speech the rule based part of the system models a seven formant parallel synthesizer and the neural network part of the structure alters the outputs from the rule bases. The network is then trained with accented speech.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
- W2116855021 created "2016-06-24" @default.
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- W2116855021 date "1992-01-01" @default.
- W2116855021 modified "2023-09-27" @default.
- W2116855021 title "A hybrid neural system for driving a parallel synthesiser so as to synthesise high quality accented speech" @default.
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- W2116855021 doi "https://doi.org/10.1109/icassp.1992.226043" @default.
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