The TORGO database of acoustic and articulatory speech from speakers with dysarthria
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Dysarthric speech database for universal access research
Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T. S., Watkin, K., & Frame, S. (2008) · Interspeech 2008 · doi:10.21437/interspeech.2008-480 · Cited by 397 · see citing works
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Investigating the Accessibility of Voice Assistants With Impaired Users: Mixed Methods Study
Masina, F., Orso, V., Pluchino, P., Dainese, G., Volpato, S., Nelini, C., Mapelli, D., Spagnolli, A., & Gamberini, L. (2020) · Journal of Medical Internet Research · doi:10.2196/18431 · Cited by 105 · see citing works
“More specifically, accuracy in speech processing was tested using sentences extracted from the TORGO database, which includes the recordings of 8 English speakers with dysarthria [18].”
MethodAdapting acoustic and lexical models to dysarthric speech
Mengistu, K. T., & Rudzicz, F. (2011) · 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2011.5947460 · Cited by 82 · see citing works
Self-citationPre-trained models for detection and severity level classification of dysarthria from speech
Javanmardi, F., Kadiri, S. R., & Alku, P. (2024) · Speech Communication · doi:10.1016/j.specom.2024.103047 · Cited by 74 · see citing works
Zhang, J., Wu, J., Qiu, Y., Song, A., Li, W., Li, X., & Liu, Y. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106517 · Cited by 69 · see citing works
Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech
Mengistu, K. T., & Rudzicz, F. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-21043-3_36 · Cited by 55 · see citing works
Self-citationGeng, M., Xie, X., Ye, Z., Wang, T., Li, G., Hu, S., Liu, X., & Meng, H. (2022) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2022.3195113 · Cited by 48 · see citing works
Automatic speech recognition of conversational speech in individuals with disordered speech
Tobin, J., Nelson, P., MacDonald, B., Heywood, R., Cave, R., Seaver, K., Desjardins, A., Jiang, P.-P., & Green, J. R. (2024) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2024_jslhr-24-00045 · Cited by 45 · see citing works
Mustafa, M. B., Rosdi, F., Salim, S. S., & Mughal, M. U. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.01.033 · Cited by 37 · see citing works
Brahmi, Z., Mahyoob, M., Al-Sarem, M., Algaraady, J., Bousselmi, K., & Alblwi, A. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s460283 · Cited by 36 · see citing works
Exploiting Cross Domain Acoustic-to-Articulatory Inverted Features for Disordered Speech Recognition
Hu, S., Liu, S., Xie, X., Geng, M., Wang, T., Hu, S., Cui, M., Liu, X., & Meng, H. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp43922.2022.9746989 · Cited by 14 · see citing works
Shen, J., & Zhang, X. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107051 · Cited by 2 · see citing works
Global vs. segmental acoustic features for dysarthria assessment in motor neuron diseases
Attia, M., Simmatis, L., Sejdic, E., & Yunusova, Y. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111291
Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review
Ebraheem, M., Toghranegar, J., Bridge2AI-Voice Consortium, Bensoussan, Y., & Templeton, J. M. (2026) · Journal of Medical Internet Research · doi:10.2196/83790
- Authors
- Rudzicz, F., Namasivayam, A. K., & Wolff, T.
- Affiliations
- University of Toronto (CA)
- Holland Bloorview Kids Rehabilitation Hospital (CA)
- Corresponding author
- Rudzicz, Frank
- Namasivayam, Aravind Kumar
- Wolff, Talya
- Venue
- Language Resources and Evaluation
- Published
- 2011-03-26
- Volume
- 46
- Issue
- 4
- Pages
- 523-541
- ISSN
- 1574-020X (ISSN-L)
- 1574-0218
- OpenAlex
- W2018363392
- Cited by
- 425
- References
- 1
- Citations by year
- 2026: 60 · 2025: 83 · 2024: 57 · 2023: 40 · 2022: 30 · 2021: 44 · 2020: 28 · 2019: 15 · 2018: 14 · 2017: 9 · 2016: 11 · 2015: 16 · 2014: 7 · 2013: 3 · 2012: 5
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Language Resources and Evaluation (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- dysarthria, speaking difficulties, cerebral palsy, amyotrophic lateral sclerosis, speech corpus, electromagnetic articulography, speech intelligibility, phoneme duration, pronunciation errors
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