2017
INTERSPEECH
INTERSPEECH 2017
A Thematicity-Based Prosody Enrichment Tool for CTS
Abstract
This paper presents a demonstration of a stochastic prosody tool for enrichment of synthesized speech using SSML prosody tags applied over hierarchical thematicity spans in the context of a CTS application. The motivation for using hierarchical thematicity is exemplified, together with the capabilities of the module to generate a variety of SSML prosody tags within a controlled range of values depending on the input thematicity label.
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Trend Setter
— Speech Synthesis
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Keyword Pioneer
— prosody enrichment
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio