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- W124759886 abstract "The level of quality that can be achieved in concatenative text-tospeech synthesis depends, among other things, on a judicious segmentation of all units in the underlying unit selection inventory. We have recently advocated the iterative refinement of unit boundaries based on a data-driven feature extraction framework separately optimized for each boundary region [1]. This paper presents the formal proof of convergence of the iterative algorithm, as well as a detailed analysis of its potential benefits for concatenative TTS synthesis. A formal listening test, in particular, underscores the practical viability of the approach for unit boundary optimization." @default.
- W124759886 created "2016-06-24" @default.
- W124759886 creator A5027943182 @default.
- W124759886 date "2006-09-17" @default.
- W124759886 modified "2023-10-14" @default.
- W124759886 title "Further developments in LSM-based boundary training for unit selection TTS" @default.
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- W124759886 doi "https://doi.org/10.21437/interspeech.2006-387" @default.
- W124759886 hasPublicationYear "2006" @default.
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