Abstract | ||
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Dysarthria is a speech motor disorder usually resulting in a substantive decrease in speech intelligibility by the general population. In this study, we have significantly improved the intelligibility of dysarthric vowels of one speaker from 48% to 54%, as evaluated by a vowel identification task using 64 CVC stimuli judged by 24 listeners. Improvement was obtained by transforming the vowels of a speaker with dysarthria to more closely match the vowel space of a non-dysarthric (target) speaker. The optimal mapping feature set, from a list of 21 candidate feature sets, proved to be one utilizing vowel duration and F1-F3 stable points, which were calculated using shape-constrained isotonic regression. The choice of speaker-specific or speaker-independent vowel formant targets appeared to be insignificant. Comparisons with ''oracle'' conditions were performed in order to evaluate the analysis/re-synthesis system independently of the transformation function. |
Year | DOI | Venue |
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2007 | 10.1016/j.specom.2007.05.001 | Speech Communication |
Keywords | Field | DocType |
dysarthria,speech transformation,dysarthric vowel,speaker-independent vowel formant target,speech modification,speech motor disorder,speech intelligibility,intelligibility,cvc stimulus,candidate feature set,optimal mapping feature set,vowel space,dysarthric speech,utilizing vowel duration,speech processing,vowel identification task,isotonic regression | Speech processing,Population,Transformation (function),Computer science,Motor disorder,Speech recognition,Vowel,Formant,Dysarthria,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
49 | 9 | Speech Communication |
Citations | PageRank | References |
26 | 2.06 | 5 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexander B. Kain | 1 | 51 | 5.90 |
John-Paul Hosom | 2 | 231 | 23.43 |
Xiaochuan Niu | 3 | 50 | 6.72 |
Jan P. H. van Santen | 4 | 514 | 99.66 |
M Fried-Oken | 5 | 65 | 8.39 |
Janice Staehely | 6 | 40 | 3.64 |