The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease
Open accessAbstract
An assessment of vocal impairment is presented for separating healthy people from persons with early untreated Parkinson’s disease (PD). This study’s main purpose was to (a) determine whether voice and speech disorder are present from early stages of PD before starting dopaminergic pharmacotherapy, (b) ascertain the specific characteristics of the PD-related vocal impairment, (c) identify PD-related acoustic signatures for the major part of traditional clinically used measurement methods with respect to their automatic assessment, and (d) design new automatic measurement methods of articulation. The varied speech data were collected from 46 Czech native speakers, 23 with PD. Subsequently, 19 representative measurements were pre-selected, and Wald sequential analysis was then applied to assess the efficiency of each measure and the extent of vocal impairment of each subject. It was found that measurement of the fundamental frequency variations applied to two selected tasks was the best method for separating healthy from PD subjects. On the basis of objective acoustic measures, statistical decision-making theory, and validation from practicing speech therapists, it has been demonstrated that 78% of early untreated PD subjects indicate some form of vocal impairment. The speech defects thus uncovered differ individually in various characteristics including phonation, articulation, and prosody.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Parkinsonism: onset, progression, and mortality
Hoehn, M. M., & Yahr, M. D. (1967) · Neurology · doi:10.1212/wnl.17.5.427 · Cited by 12,107
Dynamic Programming Algorithm Optimization for Spoken Word Recognition
Sakoe, H., & Chiba, S. (1978) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1978.1163055 · Cited by 6,727
Praat, a system for doing phonetics by computer
Boersma, P. (2002) · UvA-DARE (University of Amsterdam) · Cited by 4,417
An Introduction to the Psychology of Hearing: Fourth Edition
Moore, B. (1997) · BRILL eBooks · doi:10.1163/9789004658820 · Cited by 2,646
A Cross-Language Study of Voicing in Initial Stops: Acoustical Measurements
Lisker, L., & Abramson, A. S. (1964) · WORD · doi:10.1080/00437956.1964.11659830 · Cited by 2,590
Robust regression using iteratively reweighted least-squares.
Holland, P. W., & Welsch, R. E. (1977) · Communications in Statistics - Theory and Methods · doi:10.1080/03610927708827533 · Cited by 2,115
Lang, A. E., & Lozano, A. M. (1998) · New England Journal of Medicine · doi:10.1056/nejm199810083391506 · Cited by 1,994
Motor Speech Disorders: Substrates, Differential Diagnosis, and Management
Duffy, J. R. (1995) · Cited by 1,892
Incidence of Parkinson's Disease: Variation by Age, Gender, and Race/Ethnicity
Van Den Eeden, S. K. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg068 · Cited by 1,747
Differential diagnostic patterns of dysarthria
Darley, F. L., Aronson, A. E., & Brown, J. R. (1969) · Journal of Speech and Hearing Research · doi:10.1044/jshr.1202.246 · Cited by 1,323
Cited by
Connected Speech in Neurodegenerative Language Disorders: A Review
Boschi, V., Catricalà, E., Consonni, M., Chesi, C., Moro, A., & Cappa, S. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00269 · Cited by 362
Hlavnička, J., Čmejla, R., Tykalová, T., Šonka, K., Růžička, E., & Rusz, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-00047-5 · Cited by 326
Self-citationMultimodal assessment of Parkinson’s disease: a deep learning approach
Vasquez-Correa, J. C., Arias-Vergara, T., Orozco-Arroyave, J. R., Eskofier, B., Klucken, J., & Noth, E. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2866873 · Cited by 262
Speech treatment in Parkinson's disease: Randomized controlled trial (RCT)
Ramig, L., Halpern, A., Spielman, J., Fox, C., & Freeman, K. (2018) · Movement Disorders · doi:10.1002/mds.27460 · Cited by 225
Fox, C., Ebersbach, G., Ramig, L., & Sapir, S. (2012) · Parkinson's Disease · doi:10.1155/2012/391946 · Cited by 178
Metadata
- Authors
- Rusz, J., Cmejla, R., Ruzickova, H., & Ruzicka, E.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2011-01-01
- Volume
- 129
- Issue
- 1
- Pages
- 350-367
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2016125416
- Cited by
- 489
- References
- 57
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease. https://app.cochat.ai/papers/10.1121/1.3514381
- The paper
- Rusz, J., Cmejla, R., Ruzickova, H., & Ruzicka, E. (2011). Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.3514381
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.