Comparison of Telephone Recordings and Professional Microphone Recordings for Early Detection of Parkinson's Disease, Using Mel-Frequency Cepstral Coefficients with Gaussian Mixture Models
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Habib Benali | Stéphane Lehéricy | Dijana Petrovska-Delacrétaz | Badr-Eddine Benkelfat | Marie Vidailhet | Laetitia Jeancolas | Graziella Mangone | Jean-Christophe Corvol | H. Benali | S. Lehéricy | M. Vidailhet | B. Benkelfat | D. Petrovska-Delacrétaz | J. Corvol | G. Mangone | Laetitia Jeancolas
[1] Antanas Verikas,et al. Detecting Parkinson’s disease from sustained phonation and speech signals , 2017, PloS one.
[2] E. Růžička,et al. Imprecise vowel articulation as a potential early marker of Parkinson's disease: effect of speaking task. , 2013, The Journal of the Acoustical Society of America.
[3] Roman Cmejla,et al. Automatic Evaluation of Articulatory Disorders in Parkinson’s Disease , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[4] Jesús Francisco Vargas-Bonilla,et al. Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] M. Breteler,et al. Epidemiology of Parkinson's disease , 2006, The Lancet Neurology.
[6] Wenyao Xu,et al. DeepVoice: A voiceprint-based mobile health framework for Parkinson's disease identification , 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).
[7] P. Bühlmann,et al. Analyzing Bagging , 2001 .
[8] Elmar Nöth,et al. Automatic evaluation of parkinson's speech - acoustic, prosodic and voice related cues , 2013, INTERSPEECH.
[9] Habib Benali,et al. Automatic detection of early stages of Parkinson's disease through acoustic voice analysis with mel-frequency cepstral coefficients , 2017, 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).
[10] 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.
[11] M. Hoehn,et al. Parkinsonism , 1967, Neurology.
[12] Max A. Little,et al. Using the cellular mobile telephone network to remotely monitor Parkinson ‟ s disease symptom severity , 2022 .
[13] Alain Ghio,et al. Measurement of Tremor in the Voices of Speakers with Parkinson's Disease , 2015, ICNLSP.
[14] Fikret S. Gürgen,et al. Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings , 2013, IEEE Journal of Biomedical and Health Informatics.
[15] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[16] Jing Zhang,et al. Premotor biomarkers for Parkinson's disease - a promising direction of research , 2012, Translational Neurodegeneration.
[17] Laetitia Jeancolas,et al. Analyse de la Voix au Stade Débutant de la Maladie de Parkinson et Corrélations avec Analyse clinique et Neuroimagerie , 2019 .
[18] Jesús Francisco Vargas-Bonilla,et al. Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases , 2015, IEEE Journal of Biomedical and Health Informatics.
[19] Y. Zhang. Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation , 2017, Parkinson's disease.
[20] E. Růžička,et al. Evaluation of speech impairment in early stages of Parkinson’s disease: a prospective study with the role of pharmacotherapy , 2013, Journal of Neural Transmission.
[21] Saudi Arabia,et al. Automatic Detection of Parkinson's Disease from Words Uttered in Three Different Languages , 2014 .
[22] Elmar Nöth,et al. Automatic Detection of Parkinson's Disease Based on Modulated Vowels , 2016, INTERSPEECH.
[23] Jirí Mekyska,et al. Identification of hypokinetic dysarthria using acoustic analysis of poem recitation , 2017, 2017 40th International Conference on Telecommunications and Signal Processing (TSP).
[24] S. Boll,et al. Suppression of acoustic noise in speech using spectral subtraction , 1979 .
[25] Michal Novotný,et al. Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson’s Disease , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[26] Max A. Little,et al. Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease , 2012, IEEE Transactions on Biomedical Engineering.
[27] Ahmed Hammouch,et al. Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people , 2016, International Journal of Speech Technology.
[28] Juan Ignacio Godino-Llorente,et al. MFCC-based Remote Pathology Detection on Speech Transmitted Through the Telephone Channel - Impact of Linear Distortions: Band Limitation, Frequency Response and Noise , 2009, BIOSIGNALS.
[29] J. Jankovic,et al. Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Process, format, and clinimetric testing plan , 2007, Movement disorders : official journal of the Movement Disorder Society.
[30] Amit P. Sheth,et al. Predicting Parkinson's Disease Progression with Smartphone Data , 2013 .
[31] Juan Ignacio Godino-Llorente,et al. Automatic Detection of Laryngeal Pathologies in Records of Sustained Vowels by Means of Mel-Frequency Cepstral Coefficient Parameters and Differentiation of Patients by Sex , 2009, Folia Phoniatrica et Logopaedica.
[32] David Zhang,et al. Influence of sampling rate on voice analysis for assessment of Parkinson's disease. , 2018, The Journal of the Acoustical Society of America.
[33] Paul Boersma,et al. Praat, a system for doing phonetics by computer , 2002 .
[34] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[35] I. Cobeta,et al. Acoustic voice analysis in patients with Parkinson's disease treated with dopaminergic drugs. , 1997, Journal of voice : official journal of the Voice Foundation.
[36] Thomas Quatieri,et al. Discrete-Time Speech Signal Processing: Principles and Practice , 2001 .
[37] Max A. Little,et al. Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study. , 2015, Parkinsonism & related disorders.
[38] A. Lang,et al. How does parkinsonism start? Prodromal parkinsonism motor changes in idiopathic REM sleep behaviour disorder. , 2012, Brain : a journal of neurology.
[39] Canan Ozsancak,et al. Treatments for dysarthria in Parkinson's disease , 2004, The Lancet Neurology.