Name
Title | ||
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Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. |
Abstract | ||
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HighlightsWe analysed neutral, stress-modified and rhymed speech in Parkinson's disease.We proposed quantitative prosodic analysis of poem recitation task.We showed rhythmical demands improve identification of hypokinetic dysarthria.We introduced a concept of permutation test in dysarthric speech analysis. Background and objectiveHypokinetic dysarthria (HD) is a frequent speech disorder associated with idiopathic Parkinson's disease (PD). It affects all dimensions of speech production. One of the most common features of HD is dysprosody that is characterized by alterations of rhythm and speech rate, flat speech melody, and impairment of speech intensity control. Dysprosody has a detrimental impact on speech naturalness and intelligibility. MethodsThis paper deals with quantitative prosodic analysis of neutral, stress-modified and rhymed speech in patients with PD. The analysis of prosody is based on quantification of monopitch, monoloudness, and speech rate abnormalities. Experimental dataset consists of 98 patients with PD and 51 healthy speakers. For the purpose of HD identification, sequential floating feature selection algorithm and random forests classifier is used. In this paper, we also introduce a concept of permutation test applied in the field of acoustic analysis of dysarthric speech. ResultsProsodic features obtained from stress-modified reading task provided higher classification accuracies compared to the ones extracted from reading task with neutral emotion demonstrating the importance of stress in speech prosody. Features calculated from poem recitation task outperformed both reading tasks in the case of gender-undifferentiated analysis showing that rhythmical demands can in general lead to more precise identification of HD. Additionally, some gender-related patterns of dysprosody has been observed. ConclusionsThis paper confirms reduced variation of fundamental frequency in PD patients with HD. Interestingly, increased variability of speech intensity compared to healthy speakers has been detected. Regarding speech rate disturbances, our results does not report any particular pattern. We conclude further development of prosodic features quantifying the relationship between monopitch, monoloudness and speech rate disruptions in HD can have a great potential in future PD analysis. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.cmpb.2015.12.011 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Parkinson's disease,Hypokinetic dysarthria,Feature selection,Random forests,Dysprosody | Dysprosody,Prosody,Feature selection,Computer science,Speech recognition,Speech disorder,Dysarthria,Rhythm,Speech production,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
127 | C | 0169-2607 |
Citations | PageRank | References |
3 | 0.54 | 9 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Galaz, Z. | 1 | 20 | 3.95 |
| Jiří Mekyska | 2 | 150 | 22.28 |
| Zdenek Mzourek | 3 | 8 | 1.56 |
| Zdenek Smékal | 4 | 112 | 16.25 |
| I Rektorova | 5 | 71 | 8.87 |
| Ilona Eliasova | 6 | 24 | 3.95 |
| Milena Kostalova | 7 | 24 | 3.95 |
| Martina Mrackova | 8 | 21 | 1.85 |
| Dagmar Berankova | 9 | 3 | 0.54 |