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- W3149152053 abstract "Prosodic structure generation is the key component in improving the intelligibility and naturalness of synthetic speech for a text-to-speech (TTS) system. This paper investigates the problem of automatic segmentation of prosodic word and prosodic phrase,which are two fundamental layers in the hierarchical prosodic structure of Mandarin,and presents a two-stage prosodic structure generation strategy. Conditional random fields (CRF) models are built for both prosodic word and prosodic phrase prediction at the front end with diflerent feature selections. Besides,a transformation-based error-driven learning (TBL) modification module is introduced in the back end to amend the initial prediction. Experiment results show that the approach combining CRF and TBL achieves an F-score of 94.66%." @default.
- W3149152053 created "2021-04-13" @default.
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- W3149152053 date "2010-01-01" @default.
- W3149152053 modified "2023-09-25" @default.
- W3149152053 title "A Two-stage Prosodic Structure Generation Strategy for Mandarin Text-to-speech Systems" @default.
- W3149152053 hasPublicationYear "2010" @default.
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