Speech Synthesis with Neural Networks

Details Speech Synthesis with Neural Networks Speech Synthesis with Neural Networks

1998-11-24

arxiv.org/abs/cs/9811031v1

World Congress on Neural Networks (1996) 45-50. San Diego

Computer Science

Neural and Evolutionary Computing

6 pages, PostScript

Scientific paper

Text-to-speech conversion has traditionally been performed either by concatenating short samples of speech or by using rule-based systems to convert a phonetic representation of speech into an acoustic representation, which is then converted into speech. This paper describes a system that uses a time-delay neural network (TDNN) to perform this phonetic-to-acoustic mapping, with another neural network to control the timing of the generated speech. The neural network system requires less memory than a concatenation system, and performed well in tests comparing it to commercial systems using other technologies.

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