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Speech Intelligibility Assessment of Dysarthric Speech by using Goodness
  of Pronunciation with Uncertainty Quantification

Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification

28 May 2023
Eunjung Yeo
Kwanghee Choi
Sunhee Kim
Minhwa Chung
ArXiv (abs)PDFHTML

Papers citing "Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification"

10 / 10 papers shown
Title
Opening the Black Box of wav2vec Feature Encoder
Opening the Black Box of wav2vec Feature Encoder
Kwanghee Choi
Eunjung Yeo
SSL
72
16
0
27 Oct 2022
Multilingual analysis of intelligibility classification using English,
  Korean, and Tamil dysarthric speech datasets
Multilingual analysis of intelligibility classification using English, Korean, and Tamil dysarthric speech datasets
Eunjung Yeo
Sunhee Kim
Minhwa Chung
25
1
0
27 Sep 2022
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
P. Klumpp
T. Arias-Vergara
Paula Andrea Pérez-Toro
Elmar Nöth
J. Orozco-Arroyave
23
9
0
15 Jan 2022
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at
  Scale
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Arun Babu
Changhan Wang
Andros Tjandra
Kushal Lakhotia
Qiantong Xu
...
Yatharth Saraf
J. Pino
Alexei Baevski
Alexis Conneau
Michael Auli
SSL
110
704
0
17 Nov 2021
Language-Independent Approach for Automatic Computation of Vowel
  Articulation Features in Dysarthric Speech Assessment
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment
Yuanyuan Liu
Nelly Penttilä
T. Ihalainen
Juulia Lintula
Rachel B Convey
Okko Räsänen
22
12
0
16 Aug 2021
Disentangling Label Distribution for Long-tailed Visual Recognition
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
60
237
0
01 Dec 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
Basel Alomair
OODD
176
481
0
25 Nov 2019
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,560
0
07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
158
3,454
0
07 Oct 2016
1