Wyniki wyszukiwania dla: dysarthric speech

• Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

  Publikacja

  • D. Korzekwa
  • R. Barra-Chicote
  • B. Kostek
  • T. Drugman
  • M. Łajszczak

  - Rok 2019

  We present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...

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• Automated detection of pronunciation errors in non-native English speech employing deep learning

  Publikacja

  • D. Korzekwa

  - Rok 2023

  Despite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...

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