3 citations · 3 across the 5 of their papers we have counts for
5 papers
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing
Chunyu Qiang, Wang Geng, Yi Zhao +12
Deep learning has brought significant improvements to the field of cross-modal representation learning. For tasks such as text-to-speech (TTS), voice conversion (VC), and automatic…
Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis
Chunyu Qiang, Peng Yang, Hao Che +3
Cross-speaker style transfer in speech synthesis aims at transferring a style from source speaker to synthesized speech of a target speaker's timbre. In most previous methods, the…
Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis
Chunyu Qiang, Peng Yang, Hao Che +2
Cross-speaker style transfer in speech synthesis aims at transferring a style from source speaker to synthesised speech of a target speaker's timbre. Most previous approaches rely…
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation
Chunyu Qiang, Peng Yang, Hao Che +3
Conversion of Chinese Grapheme-to-Phoneme (G2P) plays an important role in Mandarin Chinese Text-To-Speech (TTS) systems, where one of the biggest challenges is the task of polypho…
a novel cross-lingual voice cloning approach with a few text-free samples
Xinyong Zhou, Hao Che, Xiaorui Wang +1
In this paper, we present a cross-lingual voice cloning approach. BN features obtained by SI-ASR model are used as a bridge across speakers and language boundaries. The relationshi…