Yixuan Zhou
Orcid: 0009-0002-6363-891XAffiliations:
- Tsinghua University, Shenzhen International Graduate School, Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, Shenzhen, China
According to our database1,
Yixuan Zhou
authored at least 11 papers
between 2021 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
MSStyleTTS: Multi-Scale Style Modeling With Hierarchical Context Information for Expressive Speech Synthesis.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts.
CoRR, 2023
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis.
CoRR, 2023
Context-Aware Coherent Speaking Style Prediction with Hierarchical Transformers for Audiobook Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis.
Proceedings of the Interspeech 2022, 2022
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis.
Proceedings of the Interspeech 2022, 2022
Towards Multi-Scale Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis.
Proceedings of the Interspeech 2022, 2022
Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Dependency Parsing based Semantic Representation Learning with Graph Neural Network for Enhancing Expressiveness of Text-to-Speech.
CoRR, 2021
Syntactic Representation Learning For Neural Network Based TTS with Syntactic Parse Tree Traversal.
Proceedings of the IEEE International Conference on Acoustics, 2021