This paper describes a multi-domain text-to-speech (MD-TTS)
synthesis strategy for generating speech among different domains
and so increasing the flexibility of high quality TTS systems. To
that effect, the MD-TTS introduces a flexible TTS architecture that
includes an automatic domain classification module, which allows
MD-TTS systems to be implemented by different synthesis strategies
and speech corpus typologies. In this work, the performance
of a corpus-based MD-TTS system is subjectively validated by
means of several perceptual tests.
Index Terms: text-to-speech synthesis, general purpose, limited
domain, multi-domain TTS, speech corpus, domain classification,
automatic text classification.
This paper describes a multi-domain text-to-speech (MD-TTS)synthesis strategy for generating speech among different domainsand so increasing the flexibility of high quality TTS systems. Tothat effect, the MD-TTS introduces a flexible TTS architecture thatincludes an automatic domain classification module, which allowsMD-TTS systems to be implemented by different synthesis strategiesand speech corpus typologies. In this work, the performanceof a corpus-based MD-TTS system is subjectively validated bymeans of several perceptual tests.Index Terms: text-to-speech synthesis, general purpose, limiteddomain, multi-domain TTS, speech corpus, domain classification,automatic text classification.
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