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Prosody Prediction

Predicting prosodic prominence from text. This is a 2-way classification task, assigning each word in a sentence a label 1 (prominent) or 0 (non-prominent).

( Image credit: Helsinki Prosody Corpus )

Papers

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Showing 11–15 of 15 papers

TitleStatusHype
On the Utility of Self-supervised Models for Prosody-related TasksCode1
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit—0
Controllable Sequence-To-Sequence Neural TTS with LPCNET Backend for Real-time Speech Synthesis on CPU—0
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word RepresentationsCode0
Automatic Prosody Prediction for Chinese Speech Synthesis using BLSTM-RNN and Embedding Features—0
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