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We propose a framework for phonetically-conditioned prosody generation for TTS which has two phases: first, in an off-line phase, it learns the phonetic-to-prosodic mapping underlying a target prosody database in an unsupervised manner using a ‘segmental K-means’ algorithm; secondly, for a given input text, it uses a segmental unit-selection framework to select appropriate prosodic-profiles from the...
Recently, a ‘phonetically conditioned’ prosody-selection was proposed to realize a target prosody in a conventional TTS output unit-sequence. Here, target prosody-profiles were identified conditioned on their underlying phonetic content with varying degrees of matching and over variable length time-scales that are long as possible. In this paper, we extend these results in two ways: a) we consider...
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