Diphone Synthesis Using a Neural Network
نویسنده
چکیده
A neural network is used to produce formant data for the Holmes parallel formant speech synthesizer [2] from an allophonic transcription of plain english text. This paper presents results obtained from training a back propagation neural network using speech generated by a conventional speech synthesizer. The network is able to learn to reproduce the basic form of formant transitions between allophones. Use of formant data obtained from natural speech is planned.
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