Yixuan Zhou

Orcid: 0009-0002-6363-891X

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

A Character-Level Span-Based Model for Mandarin Prosodic Structure Prediction.
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


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