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

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

10 July 2019
Daniel Korzekwa
Roberto Barra-Chicote
B. Kostek
Thomas Drugman
Mateusz Lajszczak
ArXiv (abs)PDFHTML

Papers citing "Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech"

3 / 3 papers shown
Title
Automatic Speaker Independent Dysarthric Speech Intelligibility
  Assessment System
Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System
Ayush Tripathi
Swapnil Bhosale
Sunil Kumar Kopparapu
21
10
0
10 Mar 2021
AI-Driven Interface Design for Intelligent Tutoring System Improves
  Student Engagement
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
Byungsoo Kim
H.J. Terry Suh
Jaewe Heo
Youngduck Choi
34
7
0
18 Sep 2020
Convolutional Neural Networks and a Transfer Learning Strategy to
  Classify Parkinson's Disease from Speech in Three Different Languages
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages
Juan Camilo Vásquez-Correa
T. Arias-Vergara
C. D. Ríos-Urrego
Maria Schuster
J. Rusz
J. Orozco-Arroyave
Elmar Nöth
77
24
0
11 Feb 2020
1