More than Words: Cross-Linguistic Exploration of Parkinson’s Disease Identification from SpeechVerkhodanova, V., Trčková, D., Coler, M. & Lowie, W., 29-Sep-2020, Speech and Computer. Karpov, A. & Potapova, R. (eds.). Cham: Springer International Publishing, Cham, Switzerland, p. 613-623 11 p. (Lecture Notes in Computer Science; vol. 12335).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
This study investigates the effect of listeners’ first language and expertise on their perception of speech produced by people with Parkinson’s Disease (PD). We compared assessment scores and identification accuracy of expert and non-expert Czech and Dutch listeners on two tasks: perception of speech healthiness and recognition of sentence type intonation. We collected speech data from 30 Dutch speakers diagnosed with PD and 30 Dutch speaking healthy controls. Short phrases from intonation tasks and spontaneous monologues were used as stimuli in an online perception experiment. 40 people (20 expert and 20 non-expert listeners) participated. Results show that both expertise and language familiarity are important factors in perception of speech of people with PD, however differences in identification accuracy depend on the task type. In recognition of PD speech, there are prominent acoustic cues that trigger perception of “unhealthiness” in the non-expert listeners, while experience with phonetics may lead to a different focus in their perception of such cues. In intonation accuracy recognition, both Czech and Dutch expert groups outperform both non-expert groups, indicating the added value of phonetic experience for the prosodic task. Yet, there is a clear benefit for having Dutch as the first language for both tasks, as Dutch listeners performed more accurately in both healthiness and sentence type recognition tasks .
|Title of host publication||Speech and Computer|
|Editors||Alexey Karpov, Rodmonga Potapova|
|Place of Publication||Cham|
|Publisher||Springer International Publishing, Cham, Switzerland|
|Number of pages||11|
|Publication status||Published - 29-Sep-2020|
|Name||Lecture Notes in Computer Science|