Search Results for author:
Found 2 papers, 0 papers with code
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations
However, the emotional latent space generated from the existing models is difficult to control the continuous emotional intensity because of the entanglement of features like emotions, speakers, etc.
Exploring Train and Test-Time Augmentations for Audio-Language Learning
In this paper, we aim to unveil the impact of data augmentation in audio-language multi-modal learning, which has not been explored despite its importance.
Ranked #2 on
Audio to Text Retrieval
on AudioCaps
Cannot find the paper you are looking for? You can
Submit a new open access paper.
