Data Augmentation

Improving Dysarthric Speech Segmentation with Emulated and Synthetic Augmentation

Improving Dysarthric Speech Segmentation with Emulated and Synthetic Augmentation 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Background: Acoustic features extracted from speech can help with the diagnosis of neurological diseases and monitoring of symptoms over time. Temporal segmentation of audio signals into individual words is an… read more