Automatic detection of parkinson's disease from words uttered in three different languages

About 90% of the people with Parkinson’s disease (PD) develop speech impairments such as monopitch, monoloudness, imprecise articulation, and other symptoms. There are several studies addressing the problem of the automatic detection of PD from speech signals in order to develop computer aided tools for the assessment and monitoring of the patients. Recent works have shown that it is possible to detect PD from speech with accuracies above 90%; however, it is still unclear whether it is possible to make the detection independent of the spoken language. This paper addresses the automatic detection of PD considering speech recordings of three languages: German, Spanish and Czech. According to the results it is possible to classify between speech of people with PD and healthy controls (HC) with accuracies ranging from 84% to 99%, depending on the utterance.

[1]  Chloé Clavel,et al.  Fear-type emotion recognition for future audio-based surveillance systems , 2008, Speech Commun..

[2]  Max A. Little,et al.  Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease , 2008, IEEE Transactions on Biomedical Engineering.

[3]  Jennifer L. Spielman,et al.  Formant centralization ratio: a proposal for a new acoustic measure of dysarthric speech. , 2010, Journal of speech, language, and hearing research : JSLHR.

[4]  Elmar Nöth,et al.  Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

[5]  T. Baer,et al.  Harmonics-to-noise ratio as an index of the degree of hoarseness. , 1982, The Journal of the Acoustical Society of America.

[6]  G. Stebbins,et al.  Factor structure of the unified Parkinson's disease rating scale: Motor examination section , 1998, Movement disorders : official journal of the Movement Disorder Society.

[7]  S. Skodda,et al.  Intonation and speech rate in Parkinson's disease: general and dynamic aspects and responsiveness to levodopa admission. , 2011, Journal of voice : official journal of the Voice Foundation.

[8]  L. Ramig,et al.  Speech treatment for Parkinson's disease. , 2005, NeuroRehabilitation.

[9]  O. Hornykiewicz.  Biochemical aspects of Parkinson's disease , 1998, Neurology.

[10]  A. Hofman,et al.  Prevalence of Parkinson's disease in Europe: A collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group. , 2000, Neurology.

[11]  Pedro Gómez Vilda,et al.  Methodological issues in the development of automatic systems for voice pathology detection , 2006, Biomed. Signal Process. Control..

[12]  A. Lang,et al.  Parkinson's disease. First of two parts. , 1998, The New England journal of medicine.

[13]  H. Kasuya,et al.  Normalized noise energy as an acoustic measure to evaluate pathologic voice. , 1986, The Journal of the Acoustical Society of America.

[14]  Hans Werner Strube,et al.  Glottal-to-Noise Excitation Ratio - a New Measure for Describing Pathological Voices , 1997 .

[15]  Elmar Nöth,et al.  Automatic evaluation of parkinson's speech - acoustic, prosodic and voice related cues , 2013, INTERSPEECH.

[16]  E. Růžička,et al.  Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson's disease. , 2011, The Journal of the Acoustical Society of America.

[17]  Jesús Francisco Vargas-Bonilla,et al.  New Spanish speech corpus database for the analysis of people suffering from Parkinson’s disease , 2014, LREC.

[18]  S. Skodda,et al.  Vowel articulation in Parkinson's disease. , 2011, Journal of voice : official journal of the Voice Foundation.

[19]  Elmar Nöth,et al.  PEAKS - A system for the automatic evaluation of voice and speech disorders , 2009, Speech Commun..

[20]  M. Hoehn,et al.  Parkinsonism , 1967, Neurology.

[21]  Meysam Asgari,et al.  Fully automated assessment of the severity of Parkinson's disease from speech , 2015, Comput. Speech Lang..

[22]  Jesús Francisco Vargas-Bonilla,et al.  Perceptual Analysis of Speech Signals from People with Parkinson's Disease , 2013, IWINAC.

[23]  Max A. Little,et al.  Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[24]  Roman Cmejla,et al.  Acoustic assessment of voice and speech disorders in Parkinson's disease through quick vocal test , 2011, Movement disorders : official journal of the Movement Disorder Society.

[25]  M T Sarno,et al.  Speech impairment in Parkinson's disease. , 1968, Archives of physical medicine and rehabilitation.

[26]  Paul Boersma,et al.  Praat, a system for doing phonetics by computer , 2002 .

[27]  Jesús Francisco Vargas-Bonilla,et al.  Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words , 2012, Cognitive Computation.

[28]  Germán Castellanos-Domínguez,et al.  Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients , 2011, IEEE Transactions on Biomedical Engineering.