Many-to-Many Unsupervised Speech Conversion From Nonparallel Corpora
We address a nonparallel data-driven many-to-many speech modeling and multimodal style conversion method. In this work, we train a speech conversion model for multiple domains rather than a specific source and target domain pair, and we generate diverse output speech signals from a given source doma...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9351918/ |