Investigating self-supervised pretraining frameworks for pathological speech recognition
We investigate the performance of self-supervised pretraining frameworks on pathological
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …
Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition
LP Violeta, WC Huang, T Toda - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
We investigate the performance of self-supervised pretraining frameworks on pathological
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …
[PDF][PDF] Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition
LP Violeta, WC Huang, T Toda - 2022 - isca-archive.org
We investigate the performance of self-supervised pretraining frameworks on pathological
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …