Shigenobu Seto

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The linguistic features analysis for input text plays an important role in achieving natural prosodic control in text-to-speech (TTS) systems. In a conventional scheme, experts refine suspicious if-then rules and change the tree structure manually to obtain correct analysis results when input texts that have been analyzed incorrectly. However, altering the(More)
Toshiba English Text-to-Speech Synthesizer utilizes several new techniques to produce synthesized speech that is more natural-sounding and intelligible than that created by conventional synthesizers. The closed-loop training method creates synthesis units that most closely resemble the training data and are the least susceptible to prosodic distortion noise(More)
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