Shun Lei

Orcid: 0000-0003-3597-3913

According to our database1, Shun Lei authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MSStyleTTS: Multi-Scale Style Modeling With Hierarchical Context Information for Expressive Speech Synthesis.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

SimCalib: Graph Neural Network Calibration based on Similarity between Nodes.
CoRR, 2023

AdaMesh: Personalized Facial Expressions and Head Poses for Speech-Driven 3D Facial Animation.
CoRR, 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

GTN-Bailando: Genre Consistent long-Term 3D Dance Generation Based on Pre-Trained Genre Token Network.
Proceedings of the IEEE International Conference on Acoustics, 2023

Context-Aware Coherent Speaking Style Prediction with Hierarchical Transformers for Audiobook Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information.
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

Unsupervised Multi-scale Expressive Speaking Style Modeling with Hierarchical Context Information for Audiobook Speech Synthesis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price.
Proceedings of the International Joint Conference on Neural Networks, 2021


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