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Found 3 papers, 3 papers with code
Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion
Voice conversion systems have made significant advancements in terms of naturalness and similarity in common voice conversion tasks.
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
In this study, we explore the transformer's ability to capture intra-relations among frames by augmenting the receptive field of models.
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as traditional topic assignment tasks.
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