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Found 2 papers, 2 papers with code
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis
With our framework, we show superior performance compared to baselines in zero-shot TTS and VC, achieving state-of-the-art performance.
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages
We empirically demonstrate the effectiveness of our proposed method in low-resource language scenarios, achieving outstanding performance compared to competing methods.
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