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Found 3 papers, 1 papers with code
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss
We achieve cross-lingual VC between Mandarin speech with multiple speakers and English speech with multiple speakers by applying bilingual bottleneck features.
Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario
In addition, we investigate the model's performance on the cross-lingual synthesis, with and without a bilingual dataset during training.
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features
This paper describes a conditional neural network architecture for Mandarin Chinese polyphone disambiguation.
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