scholarly journals A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing

2019 ◽  
Vol 48 ◽  
pp. 205-220 ◽  
Author(s):  
Laureano Moro-Velazquez ◽  
Jorge Andres Gomez-Garcia ◽  
Juan Ignacio Godino-Llorente ◽  
Jesús Villalba ◽  
Jan Rusz ◽  
...  
2021 ◽  
Author(s):  
Laureano Moro-Velazquez ◽  
Jorge Gomez-Garcia ◽  
Najim Dehak ◽  
Juan Ignacio Godino-Llorente

2021 ◽  
Vol 15 ◽  
Author(s):  
Anubhav Jain ◽  
Kian Abedinpour ◽  
Ozgur Polat ◽  
Mine Melodi Çalışkan ◽  
Afsaneh Asaei ◽  
...  

Humans' voice offers the widest variety of motor phenomena of any human activity. However, its clinical evaluation in people with movement disorders such as Parkinson's disease (PD) lags behind current knowledge on advanced analytical automatic speech processing methodology. Here, we use deep learning-based speech processing to differentially analyze voice recordings in 14 people with PD before and after dopaminergic medication using personalized Convolutional Recurrent Neural Networks (p-CRNN) and Phone Attribute Codebooks (PAC). p-CRNN yields an accuracy of 82.35% in the binary classification of ON and OFF motor states at a sensitivity/specificity of 0.86/0.78. The PAC-based approach's accuracy was slightly lower with 73.08% at a sensitivity/specificity of 0.69/0.77, but this method offers easier interpretation and understanding of the computational biomarkers. Both p-CRNN and PAC provide a differentiated view and novel insights into the distinctive components of the speech of persons with PD. Both methods detect voice qualities that are amenable to dopaminergic treatment, including active phonetic and prosodic features. Our findings may pave the way for quantitative measurements of speech in persons with PD.


2006 ◽  
Vol 117 ◽  
pp. 188
Author(s):  
C. Schröder ◽  
S. Kotz ◽  
J.Möbes ◽  
F. Szymanowski ◽  
W. Nager ◽  
...  

Author(s):  
Nuriye Yıldırım Gökay ◽  
Bülent Gündüz ◽  
Fatih Söke ◽  
Recep Karamert

Purpose The effects of neurological diseases on the auditory system have been a notable issue for investigators because the auditory pathway is closely associated with neural systems. The purposes of this study are to evaluate the efferent auditory system function and hearing quality in Parkinson's disease (PD) and to compare the findings with age-matched individuals without PD to present a perspective on aging. Method The study included 35 individuals with PD (mean age of 48.50 ± 8.00 years) and 35 normal-hearing peers (mean age of 49 ± 10 years). The following tests were administered for all participants: the first section of the Speech, Spatial and Qualities of Hearing Scale; pure-tone audiometry, speech audiometry, tympanometry, and acoustic reflexes; and distortion product otoacoustic emissions (DPOAEs) and contralateral suppression of DPOAEs. SPSS Version 25 was used for statistical analyses, and values of p < .05 were considered statistically significant. Results There were no statistically significant differences in the pure-tone audiometry thresholds and DPOAE responses between the individuals with PD and their normal-hearing peers ( p = .732). However, statistically significant differences were found between the groups in suppression levels of DPOAEs and hearing quality ( p < .05). In addition, a statistically significant and positive correlation was found between the amount of suppression at some frequencies and the Speech, Spatial and Qualities of Hearing Scale scores. Conclusions This study indicates that medial olivocochlear efferent system function and the hearing quality of individuals with PD were affected adversely due to the results of PD pathophysiology on the hearing system. For optimal intervention and follow-up, tasks related to hearing quality in daily life can also be added to therapies for PD.


2004 ◽  
Vol 9 (2) ◽  
pp. 10-13
Author(s):  
Linda Worrall ◽  
Jennifer Egan ◽  
Dorothea Oxenham ◽  
Felicity Stewart

2007 ◽  
Vol 12 (1) ◽  
pp. 2-11
Author(s):  
Lorraine Ramig ◽  
Cynthia Fox

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