The DOI matches its Crossref record; 11 of the 12 references it cites were found in a registry or an index.
Dysarthric speech database for universal access research
Abstract
This paper describes a database of dysarthric speech produced by 19 speakers with cerebral palsy. Speech materials consist of 765 isolated words per speaker: 300 distinct uncommon words and 3 repetitions of digits, computer commands, radio alphabet and common words. Data is recorded through an 8-microphone array and one digital video camera. Our database provides a fundamental resource for automatic speech recognition development for people with neuromotor disability. Research on articulation errors in dysarthria will benefit clinical treatments and contribute to our knowledge of neuromotor mechanisms in speech production. Data files are available via secure ftp upon request. Index Terms: speech recognition, dysarthria, cerebral palsy 1.
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Cites
Darley, F. L., Aronson, A., & Brown, J. R. (2014) · Channel View Publications eBooks · doi:10.2307/jj.26931941 · Cited by 1,265
Speech database development at MIT: Timit and beyond
Zue, V. W., Seneff, S., & Glass, J. (1990) · Speech Communication · doi:10.1016/0167-6393(90)90010-7 · Cited by 594
Acoustic studies of dysarthric speech
Kent, R. D., Weismer, G. G., Kent, J. F., Vorperian, H. K., & Duffy, J. R. (1999) · Journal of Communication Disorders · doi:10.1016/s0021-9924(99)00004-0 · Cited by 284
Speechreading by Humans and Machines
(1996) · NATO ASI series. Series F : Computer and system sciences · doi:10.1007/978-3-662-13015-5 · Cited by 229
AVICAR: audio-visual speech corpus in a car environment
Lee, B., Hasegawa‐Johnson, M., Goudeseune, C. M. A., Kamdar, S., Borys, S., Liu, M., & Huang, T. S. (2004) · Interspeech (USB) · doi:10.21437/interspeech.2004-424 · Cited by 186
Self-citationOn the Integration of Auditory and Visual Parameters in an HMM-based ASR
Adjoudani, A., & Benoı̂t, C. (1996) · NATO ASI series. Series F : Computer and system sciences · doi:10.1007/978-3-662-13015-5_35 · Cited by 163
Dysarthria of Adult Cerebral Palsy
Platt, L. J., Andrews, G., Young, M., & Quinn, P. T. (1980) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.2301.28 · Cited by 111
Dysarthria of Adult Cerebral Palsy
Platt, L. J., Andrews, G., & Howie, P. M. (1980) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.2301.41 · Cited by 85
Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria
Hasegawa‐Johnson, M., Gunderson, J. R., Perlman, A. L., & Huang, T. S. (2006) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2006.1660840 · Cited by 79
Self-citationBimodal speech recognition using coupled hidden Markov models
Chu, S. M., & Huang, T. S. (2000) · International Conference on Spoken Language Processing (ICSLP) · doi:10.21437/icslp.2000-377 · Cited by 31
Self-citationInformation Fusion for Robust Audio -Visual Speech Recognition
Zhang, Y. (2000) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 2
Cited by
Sorted by citations
The TORGO database of acoustic and articulatory speech from speakers with dysarthria
Rudzicz, F., Namasivayam, A. K., & Wolff, T. (2012) · Language Resources and Evaluation · doi:10.1007/s10579-011-9145-0 · Cited by 425
Automatic detection of Parkinson's disease in running speech spoken in three different languages
Orozco‐Arroyave, J. R., Hönig, F., Arias-Londoño, J. D., Vargas‐Bonilla, J. F., Daqrouq, K. O., Skodda, S., Rusz, J., & Nöth, E. (2016) · The Journal of the Acoustical Society of America · doi:10.1121/1.4939739 · Cited by 218
Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System
Shahamiri, S. R. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3076778 · Cited by 164
Deep transfer learning for automatic speech recognition: Towards better generalization
Kheddar, H., Himeur, Y., Al-Maadeed, S. A., Amira, A., & Bensaali, F. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110851 · Cited by 159
Tools and Technologies for Computer-Aided Speech and Language Therapy
Saz, Ó., Yin, S.-C., Lleida, E., Rose, R. C., Vaquero, C., & Dueñas, W. R. R. (2009) · Speech Communication · doi:10.1016/j.specom.2009.04.006 · Cited by 130
Metadata
- Authors
- Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T. S., Watkin, K., & Frame, S.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Venue
- Interspeech 2008
- Publisher
- ISCA
- Published
- 2008-09-22
- Pages
- 1741-1744
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W180052447
- Cited by
- 397
- References
- 12
- Citations by year
- 2026: 44 · 2025: 52 · 2024: 53 · 2023: 42 · 2022: 31 · 2021: 38 · 2020: 35 · 2019: 23 · 2018: 13 · 2017: 7 · 2016: 16 · 2015: 9 · 2014: 8 · 2013: 6 · 2012: 4
- FWCI
- 3.96
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- dysarthria, cerebral palsy, speech corpus, neuromotor disabilities, speech recognition, articulation errors, isolated words, speech production
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