Papers by Pablo Diego-Simon
XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words (2023.findings-emnlp)
Copied to clipboard
| Challenge: | a new method to segment speech into words is needed to overcome the lack of explicit word boundaries in the speech stream. |
| Approach: | They propose to fine-tune a self-supervised speech model to predict word boundaries . they use XLS-R to fine tune the models and infer new word boundary labels . |
| Outcome: | The proposed model outperforms existing models and sets a new state-of-the-art on five corpora with different languages. |