Abstract
In an earlier chapter, we described the overall structure of the SOMtalk text-to-speech system and detailed results suggesting that non-symbolic (‘phonetic’) representations — based on trajectories through a ‘phonetic’ space derived from a self-organising map — may play a useful part in deriving pronunciations from text. A similar strategy suggests itself for the subsequent stage in which synthetic speech is produced from the ‘phonetic’ representation. This makes it possible to bypass a symbolic ‘phonemic’ stage in the overall, trained system. In this case, only a small database has been used for learning because of the high computational cost of training on spectral data, but some encouraging preliminary results have been obtained.
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© 2001 Springer Science+Business Media Dordrecht
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Cohen, A.D. (2001). Learnable Phonetic Representations in a Connectionist TTS System — II: Phonetics to Speech. In: Damper, R.I. (eds) Data-Driven Techniques in Speech Synthesis. Telecommunications Technology & Applications Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3413-3_12
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DOI: https://doi.org/10.1007/978-1-4757-3413-3_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4733-8
Online ISBN: 978-1-4757-3413-3
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