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- W2183688431 abstract "Neural networks could help establish the generalizations inherent in text-to-speech synthesis rules. Such networks are showing the ability to learn the rules for resynthesizing a finite vocabulary and their degree of success in dealing with new situations depends on their training methodology and the size and composition of the training corpus. The cascade/parallel formant synthesizer model has been chosen as a case study." @default.
- W2183688431 created "2016-06-24" @default.
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- W2183688431 date "1990-01-01" @default.
- W2183688431 modified "2023-09-26" @default.
- W2183688431 title "FOR A CASCADE/PARAUEL FORMANT SPNTHESIZER" @default.
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