Phonation biomechanic analysis of Alzheimer's Disease cases

Speech production in patients suffering of dementias of Alzheimer?s type is known to experience noticeable changes with respect to normative speakers. Classically this kind of speech has been described as presenting altered prosody, rhythmic pace, anomy, or impaired semantics. Phonation, conceived as the production of voice in voiced speech fragments remains as an unexplored field. The aim of the present paper is to open a preliminary study presenting biomechanical estimates from phonation produced by two patients (male and female) suffering Alzheimer?s Disease (AD), contrasted on two controls of both genders (CS: control speakers). A vocal fold biomechanical model is inverted to facilitate estimates of the vocal fold stiffness to analyze significant segments of phonated speech as long vowels and fillers. The estimates of both the AD patients and CS subjects are contrasted on a database of phonation features from a normative speaker population of both genders, as well as in paired tests contrasting AD and CS subjects. Results show the possibility of establishing significant discrimination between AD and CS when using f0, as well as vocal fold body stiffness, although this last feature seems to be more relevant and shows larger statistical significance.

[1]  Karalyn Patterson,et al.  Phonological and Articulatory Impairment in Alzheimer's Disease: A Case Series , 2000, Brain and Language.

[2]  Petros Maragos,et al.  A Comparison of the Squared Energy and Teager-Kaiser Operators for Short-Term Energy Estimation in Additive Noise , 2009, IEEE Transactions on Signal Processing.

[3]  Brian Roark,et al.  Spoken Language Derived Measures for Detecting Mild Cognitive Impairment , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  Marcos Faúndez-Zanuy,et al.  On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis , 2013, Sensors.

[5]  U. Jürgens Neural pathways underlying vocal control , 2002, Neuroscience & Biobehavioral Reviews.

[6]  Giuseppe Tosto,et al.  Prosodic Impairment in Alzheimer's Disease: Assessment and Clinical Relevance , 2011 .

[7]  Christopher D. Manning,et al.  Probabilistic models of language processing and acquisition , 2006, Trends in Cognitive Sciences.

[8]  John G Harris,et al.  A sawtooth waveform inspired pitch estimator for speech and music. , 2008, The Journal of the Acoustical Society of America.

[9]  Victoria Rodellar-Biarge,et al.  Biomechanical characterization of phonation in Alzheimer's Disease , 2014, 3rd IEEE International Work-Conference on Bioinspired Intelligence.

[10]  Romola S. Bucks,et al.  Emotion processing in Alzheimer's disease , 2000, Neurobiology of Aging.

[11]  Yogesan Kanagasingam,et al.  Innovative diagnostic tools for early detection of Alzheimer's disease , 2015, Alzheimer's & Dementia.

[12]  Per Östberg,et al.  Articulatory Agility in Cognitive Decline , 2009, Folia Phoniatrica et Logopaedica.

[13]  K. Forbes-McKay,et al.  Detecting subtle spontaneous language decline in early Alzheimer’s disease with a picture description task , 2005, Neurological Sciences.

[14]  Marcos Faúndez-Zanuy,et al.  On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature , 2013, Cognitive Computation.

[15]  Victoria Rodellar,et al.  BioMet®Phon: A system to monitor phonation quality in the clinics , 2013, eTELEMED 2013.

[16]  C. Mathers,et al.  Global prevalence of dementia: a Delphi consensus study , 2005, The Lancet.

[17]  Sameer Singh,et al.  Evaluation of an objective technique for analysing temporal variables in DAT spontaneous speech , 2001 .

[18]        Global prevalence of dementia: a Delphi consensus study , 2006 .

[19]  Erfan Younesi,et al.  A Knowledge-based Integrative Modeling Approach for In-Silico Identification of Mechanistic Targets in Neurodegeneration with Focus on Alzheimer's Disease , 2014 .

[20]  Arlene J. Astell,et al.  Strategy prompts increase verbal fluency in people with Alzheimer’s disease , 2006, Brain and Language.

[21]  Mike Brookes,et al.  The DYPSA algorithm for estimation of glottal closure instants in voiced speech , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[22]  K. Horley,et al.  Emotional prosody perception and production in dementia of the Alzheimer's type. , 2010, Journal of speech, language, and hearing research : JSLHR.

[23]  María Victoria Rodellar Biarge,et al.  Characterizing Neurological Disease from Voice Quality Biomechanical Analysis , 2013, Cognitive Computation.

[24]  Vanessa Taler,et al.  Language performance in Alzheimer's disease and mild cognitive impairment: A comparative review , 2008, Journal of clinical and experimental neuropsychology.

[25]  K. Scherer,et al.  THE EFFECTS OF EMOTIONS ON VOICE QUALITY , 1999 .

[26]  John H. L. Hansen,et al.  Discrete-Time Processing of Speech Signals , 1993 .

[27]  Ailbhe Ní Chasaide,et al.  The role of voice quality in communicating emotion, mood and attitude , 2003, Speech Commun..

[28]  James M. Peters,et al.  A Knowledge-Based , 1988 .

[29]  Petr Zach,et al.  Simple Method for Evaluation of Planum Temporale Pyramidal Neurons Shrinkage in Postmortem Tissue of Alzheimer Disease Patients , 2014, BioMed research international.

[30]  María Victoria Rodellar Biarge,et al.  Glottal Source biometrical signature for voice pathology detection , 2009, Speech Commun..

[31]  Curry I. Guinn,et al.  Language Analysis of Speakers with Dementia of the Alzheimer's Type , 2012, AAAI Fall Symposium: Artificial Intelligence for Gerontechnology.

[32]  Joaquim P. Marques de Sá,et al.  Applied statistics : using SPSS, STATISTICA, and MATLAB , 2003 .

[33]  I. Titze,et al.  Rules for controlling low-dimensional vocal fold models with muscle activation. , 2002, The Journal of the Acoustical Society of America.

[34]  J. Illes Neurolinguistic features of spontaneous language production dissociate three forms of neurodegenerative disease: Alzheimer's, Huntington's, and Parkinson's , 1989, Brain and Language.