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Found 6 papers, 0 papers with code
Improve few-shot voice cloning using multi-modal learning
Recently, few-shot voice cloning has achieved a significant improvement.
Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data
More importantly, we find that our method can achieve a comparable result to the state-of-the-art (SOTA) performance in cross-lingual voice cloning.
Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech
In this paper, we study the disentanglement of speaker and language representations in non-autoregressive cross-lingual TTS models from various aspects.
Revisiting IPA-based Cross-lingual Text-to-speech
Experiments show that the way to process the IPA and suprasegmental sequence has a negligible impact on the CL VC performance.
The NeteaseGames System for Voice Conversion Challenge 2020 with Vector-quantization Variational Autoencoder and WaveNet
In practice, our system can be developed with VCC 2020 dataset for both Task 1 (intra-lingual) and Task 2 (cross-lingual).
Sound Audio and Speech Processing
Improving Interpretability of Word Embeddings by Generating Definition and Usage
Definition modeling provides a more intuitive way to evaluate embeddings by utilizing them to generate natural language definitions of corresponding words.
