Unsupervised Word-Level Prosody Tagging for Controllable Speech Synthesis
Author:
Affiliation:
1. Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence, AI Institute X-LANCE Lab,Department of Computer Science and Engineering,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746323.pdf?arnumber=9746323
Reference25 articles.
1. Prosodic Clustering for Phoneme-Level Prosody Control in End-to-End Speech Synthesis
2. Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
3. Hierarchical generative modeling for controllable speech synthesis;hsu,2018
4. Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech
5. Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior
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