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Found 7 papers, 0 papers with code
Unsupervised Multi-scale Expressive Speaking Style Modeling with Hierarchical Context Information for Audiobook Speech Synthesis
On top of these, a bi-reference attention mechanism is used to align both local-scale reference style embedding sequence and local-scale context style embedding sequence with corresponding phoneme embedding sequence.
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes
A novel calibration framework, named SimCalib, is accordingly proposed to consider similarity between nodes at global and local levels.
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
Existing works mostly neglect the person-specific talking style in generation, including facial expression and head pose styles.
Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information
This paper presents an end-to-end high-quality singing voice synthesis (SVS) system that uses bidirectional encoder representation from Transformers (BERT) derived semantic embeddings to improve the expressiveness of the synthesized singing voice.
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis
The spontaneous behavior that often occurs in conversations makes speech more human-like compared to reading-style.
Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis
In this paper, we propose a hierarchical framework to model speaking style from context.
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
Bitcoin, one of the major cryptocurrencies, presents great opportunities and challenges with its tremendous potential returns accompanying high risks.
