| Title: |
Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson's disease |
| Authors: |
Illner V.; Krýže P.; Švihlík J.; Sousa M.; Krack P.; Tripoliti E.; Jech R.; Rusz J. |
| Publisher Information: |
ISCA - International Speech Communication Association |
| Publication Year: |
2023 |
| Collection: |
Czech Technical University in Prague: Digital Library / České vysoké učení technické v Praze: Digitální knihovna ČVUT |
| Subject Terms: |
acoustic analysis; dysarthria; Mel Frequency Cepstral Coefficients; Parkinson's disease; speech disorder |
| Description: |
One of the most popular speech parametrizations for dysarthria has been Mel Frequency Cepstral Coefficients (MFCCs). Although the MFCCs ability to capture vocal tract characteristics is known, the reflected dysarthria aspects are primarily undisclosed. Thus, we investigated the relationship between key acoustic variables in Parkinson's disease (PD) and the MFCCs. 23 PD patients were recruited with ON and OFF conditions of Deep Brain Stimulation of the Subthalamic Nucleus (STN-DBS) and examined via a reading passage. The changes in dysarthria aspects were compared to changes in a global MFCC measure and individual MFCCs. A similarity was found in 2nd to 3rd MFCCs changes and voice quality. Changes in 4th to 9th MFCCs reflected articulation clarity. The global MFCC parameter outperformed individual MFCCs and acoustical measures in capturing STN-DBS conditions changes. The findings may assist in interpreting outcomes from clinical trials and improve the monitoring of disease progression. |
| Document Type: |
conference object |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023; info:eu-repo/grantAgreement/Czech Science Foundation/GF/GF21-14216L/CZ/Reducing speech-related side-effects of deep brain stimulation in Parkinson's Disease via automated speech analysis/RESPEECH-PD; info:eu-repo/grantAgreement/Ministry of Education, Youth and Sports/LX/LX22NPO5107/CZ/National institute for Neurological Research/NPO-NEURO-D; Interspeech; http://hdl.handle.net/10467/111996 |
| DOI: |
10.21437/Interspeech.2023-1744 |
| Availability: |
http://hdl.handle.net/10467/111996; https://doi.org/10.21437/Interspeech.2023-1744 |
| Rights: |
openAccess |
| Accession Number: |
edsbas.9A2A3209 |
| Database: |
BASE |