Measuring the intelligibility of dysarthric speech through automatic speech recognition in a pluricentric language-Reference-Cited by-同舟云学术

Measuring the intelligibility of dysarthric speech through automatic speech recognition in a pluricentric language

Published:2023-03 Issue: Volume:148 Page:23-30
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Xue Wei^ORCID,Cucchiarini Catia,van Hout Roeland,Strik Helmer

Funder

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference36 articles.

1. Multi-dialect acoustic modeling using phone mapping and online i-vectors;Arsikere,2019

2. E-Learning Based Speech Therapy (EST): Exploring the Potentials Ofe-Health in Dysarthric Speakers;Beijer,2012

3. Automatic assessment of sentence-level dysarthria intelligibility using BLSTM;Bhat;IEEE J. Sel. Top. Signal Process.,2020

4. Automatic intelligibility assessment of speakers after laryngeal cancer by means of acoustic modeling;Bocklet;J. Voice,2012

5. Een Corpus gesproken Nederlands voor spraaktechnologisch Onderzoek;Demuynck,1997

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating OpenAI's Whisper ASR: Performance analysis across diverse accents and speaker traits;JASA Express Letters;2024-02-01

2. An introduction to pluricentric languages in speech science and technology;Speech Communication;2024-01

3. A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks;Sensors;2023-06-29