Style Modeling for Multi-Speaker Articulation-to-Speech
Author:
Affiliation:
1. Yonsei University,Department of Electrical and Electronic Engineering,Seoul,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095404.pdf?arnumber=10095404
Reference24 articles.
1. Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors’ Orientation Information
2. Error analysis to improve the speech recognition accuracy on Telugu language
3. Speaker adaptation on articulation and acoustics for articulation-to-speech synthesis;cao;SENSORS,2022
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski;Advances in neural information processing systems,2020
5. Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis
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