3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
These leaderboards are used to track progress in speech-synthesis
No benchmarks available.
Use these libraries to find speech-synthesis models and implementations
No subtasks available.
This paper investigates how to leverage fine-tuning on a pre-trained Deep Learning-based TTS model to synthesize speech with a small dataset of another speaker, and adapts this model to have emotional TTS by fine- Tuning the neutral T TS model with asmall emotional dataset.
This paper analyzes and compares different latent spaces and obtains an interpretation of their influence on expressive speech to enable the possibility to build controllable speech synthesis systems with an understandable behaviour.
Experiments show that the predicted emotion strength of the proposed StrengthNet are highly correlated with ground truth scores for seen and unseen speech.
Adding a benchmark result helps the community track progress.