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Books on the topic 'Automatic diagnosis of speech disorder'

Author: Grafiati
Published: 28 June 2021
Last updated: 6 February 2022

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1

Baghai-Ravary, Ladan. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. New York, NY: Springer New York, 2013.

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2

Baghai-Ravary, Ladan, and Steve W. Beet. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4574-6.

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3

Dodd, Barbara. The differential diagnosis and treatment of children with speech disorder. London: Whurr Publishers, 1995.

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4

Dodd, Barbara. The differential diagnosis and treatment of children with speech disorder. London: Whurr, 1995.

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5

Managing organizational change: Human factors and automation. Philadelphia: Taylor & Francis, 1988.

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6

Learning disabilities sourcebook: Basic consumer health information about dyslexia, dyscalculia, dysgraphia, speech and communication disorders, auditory and visual processing disorders, and other conditions that make learning difficult, including attention deficit hyperactivity disorder, down syndrome and other chromosomal disorders, fetal alcohol spectrum disorders, hearing and visual impairment, autism and other pervasive developmental disorders, and traumatic brain Injury; along with facts about diagnosing learning disabilities, early intervention, the special education process, legal protections, assistive technology, and accommodations, and guidelines for life-stage transitions, suggestions for coping with daily challenges, a glossary of related terms, and a directory of additional resources. 4th ed. Detroit, MI: Omnigraphics, 2012.

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7

Baghai-Ravary, Ladan, and Steve W. Beet. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer, 2012.

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8

Baghai-Ravary, Ladan. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer, 2012.

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9

Dodd, Barbara. Differential Diagnosis of Children with Speech Disorder. Not Avail, 1994.

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10

Barbara, Dodd, ed. Differential diagnosis and treatment of children with speech disorder. 2nd ed. London: Whurr, 2005.

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11

Dodd, Barbara. Differential Diagnosis and Treatment of Children with Speech Disorder. 2nd ed. Wiley, 2005.

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12

Dodd, Barbara. Differential Diagnosis and Treatment of Children with Speech Disorder. Wiley & Sons, Incorporated, John, 2013.

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13

Dodd, Barbara. Differential Diagnosis and Treatment of Children with Speech Disorder. Wiley & Sons, Incorporated, John, 2013.

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14

Fallik, Fred. Managing Organizational Change: Human Factors and Automation. Taylor & Francis Group, 2016.

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15

Managing Organizational Change: Human Factors and Automation. Taylor & Francis Group, 2013.

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16

Differential Diagnosis And Treatment Of Children With Speech Disorder (Studies in Disorders of Communication). Singular Publishing Group, 1995.

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17

Kim, Grundy, ed. Linguistics in clinical practice. London: Taylor & Francis, 1989.

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18

D, Matthews Dawn, ed. Learning disabilities sourcebook: Basic consumer health information about learning disabilities, including dyslexia, developmental speech and language disabilities, non-verbal learning disorders, developmental arithmetic disorder, developmental writing disorder, and other conditions that impede learning such as attention deficit/hyperactivity disorder, brain injury, hearing impairment, Klinefelter syndrome, dyspraxia, and Tourette syndrome, along with facts about educational issues and assistive technology, coping strategies, a glossary of related terms, and resources for further help and information. 2nd ed. Detroit, MI: Omnigraphics, 2003.

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19

Gatkowska, Izabela. Diagnosing Dysarthria in Adults: A New Speech Assessment Method for Polish, English, and Spanish. Æ Academic, 2019. http://dx.doi.org/10.52769/bl3.0019.

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Izabela Gatkowska proposes a new SPEECH ASSESSMENT METHOD (SAM), grounded in her clinical experience with dysarthria, awareness of diagnostically important features, and the practical need to confine logopedic examination to tasks diagnostically most important and maximally tolerable by the patient. When diligently applied, the new SAM allows the diagnostician to identify overlapping dysarthric symptoms in greater detail and, when repeated, analyze their dynamics over time. The point of departure for the current study is an analysis of the speech impairments observed in Polish adult neurological patients. Rooted in language, developed and tested in a neurological clinic, this original method of diagnosing dysarthric speech disorders shall be applicable for linguists, psychologists, and clinicians who work with patients speaking Polish, English, or Spanish. Dysarthria, after all, is a neurodegeneratively-conditioned speech disorder whose diagnosis is independent of the patient’s mother tongue.
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20

Bosch, Annet M., and Elaine Murphy. Galactosemia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199972135.003.0002.

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There are three known inherited disorders of galactose metabolism: classic galactosemia (galactose-1-phosphate uridyltransferase deficiency), galactokinase deficiency, and uridine diphosphate galactose 4-epimerase deficiency. Classic galactosemia presents in the newborn period with liver and renal impairment and failure to thrive. Acute symptoms resolve when lactose is excluded from the diet, but long-term complications are frequent and include neurocognitive and social difficulties, speech and language problems, motor problems, and premature ovarian insufficiency. Patients with galactokinase deficiency develop cataracts, while the clinical spectrum of uridine diphosphate galactose 4-epimerase deficiency is broad, from a benign condition to a severe disorder similar to classic galactosemia. All are autosomal recessive conditions. Diagnosis is by measurement of enzyme activity in erythrocytes, confirmed by mutation analysis of the specific genes, GALT, GALK, or GALE.
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21

Leon, Susan A., Amy D. Rodriguez, and John C. Rosenbek. Right Hemisphere Damage and Prosody. Edited by Anastasia M. Raymer and Leslie J. Gonzalez Rothi. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199772391.013.15.

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Communication requires interdependent functioning of large portions of the brain, and damage to any of these systems can disrupt effective and appropriate communication. Damage to the right hemisphere or basal ganglia can result in difficulty using or understanding prosodic contours in speech. Prosody includes pitch, loudness, rate, and voice quality, and is used to convey emotional connotation or linguistic intent. A disorder in the comprehension or production of prosody is known as aprosodia; affective aprosodia is a specific deficit affecting emotional or affective prosodic contours. The right hemisphere has been shown to play a critical role in processing emotional prosody and aprosodia syndromes resulting from damage to right hemisphere areas have been proposed. These include an expressive aprosodia resulting from anterior damage and a receptive aprosodia resulting from more posterior damage. Assessment and diagnosis of aprosodia in clinical settings are often perceptually based; however, acoustic analyses of means and ranges of frequency, intensity, and rate provide an instrumented analysis of prosody production. The treatment of aprosodia following stroke has received scant attention in comparison to other disorders of communication, although a few studies investigating cognitive–linguistic and imitative treatments have reported some positive results.
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22

Powell, Craig M. SHANK Gene Family and Autism. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199744312.003.0011.

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SHANK3 deletion/mutation is an independently replicated, genetic cause of autism (Durand et al., 2007; Gauthier et al., 2009; Moessner et al., 2007) and is the major causative gene in the 22q13 deletion syndrome known as Phelan-McDermid syndrome (Bonaglia et al., 2011; Bonaglia et al., 2001; Bonaglia et al., 2006; Chen et al., 2011; Delahaye et al., 2009; Dhar et al., 2010; Jeffries et al., 2005; Misceo et al., 2011; Sarasua et al., 2011; Wilson et al., 2003). Patients with Phelan-McDermid syndrome uniformly have delayed or absent speech and many carry the diagnosis of autism spectrum disorder (Cusmano-Ozog, Manning, & Hoyme, 2007; Havens, Visootsak, Phelan, & Graham, 2004). More recently, mutations in SHANK2 have been implicated in autism and intellectual disability (Berkel et al., 2010; Pinto et al., 2010). These recent human genetic findings provide a compelling rationale for developing a comprehensive understanding of SHANK3 function in synapses, circuits, and behavior, resulting in three different novel genetic mouse models published by more than four independent laboratories (Bangash et al., 2011; Bozdagi et al., 2010; Peca et al., 2011; Wang et al., 2011). Such studies shed light on the underlying biology of autism caused by SHANK3 mutations. This chapter examines in detail the evidence supporting a role for SHANK genes in autism and intellectual disability as well as insights from the recent genetic animal models of SHANK3 mutations.
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