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Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders

Kataloginformation Katalogdatensatz500177062 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
ISBN	978-1-4614-4573-9
Name	Baghai-Ravary, Ladan
Name	Beet, Steve W.
Name ANZEIGE DER KETTE	Beet, Steve W.
T I T E L	Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders
Verlagsort	New York, NY
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (VIII, 70 p. 9 illus, digital)
Reihe	SpringerBriefs in Electrical and Computer Engineering
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	5.2…Temporal Models5.2.1 Hidden Markov Models; 5.3…Classification and Discrimination; 5.3.1 Linear Transformations and Discriminant Analysis; 5.3.2 Artificial Neural Networks; 5.3.3 Support Vector Machines; 5.4…Phase-Space Representation; 5.5…Complete Systems; References; 6 Novel Approaches; Abstract; 6.1…The Data; 6.2…Phonetic Score Histograms; 6.2.1 Dysarthria Results; 6.2.2 Dyspraxia Results; 6.2.3 Quantitative Comparison of HMM Score Histograms; 6.2.4 Log-Probability Histogram Distances; 6.3…Multi-Step Adaptive Flux Interpolation; 6.3.1 Power Spectrum Estimation. 6.3.2 MAFI Dynamics Parameters6.4…Conclusions; References; 7 The Future; Abstract; 7.1…Evaluation; 7.2…Promising Topics for Future Research; 7.3…The Techniques Most Likely to Succeed; 7.4…Practical Approaches; 7.5…Conclusion;. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders; Preface; Contents; 1 Introduction; Abstract; 1.1…Progress in Remote Diagnosis and Telemonitoring; 1.2…Technological Issues; 1.3…Symptoms of Speech Impairment; 1.4…Diagnosis and Assessment; 1.5…Performance Evaluation of Algorithms and Systems; References; 2 Speech Production and Perception; Abstract; 2.1…Articulation; 2.2…Phonation; 2.3…Voicing; 2.4…Resonance; 2.5…Prosody; 2.6…Intelligibility; References; 3 Acoustic Effects of Speech Impairment; Abstract; 3.1…Dysphonia; 3.2…Dysprosody; 3.3…Dysarthria. 3.4…Apraxia of Speech3.5…Aphasia; 3.6…Stuttering; 3.7…Parkinson's Disease; 3.8…Schizophrenia; References; 4 Technology and Implementation; Abstract; 4.1…Recording and Data Collection; 4.2…Effects of Coding and Transmission; 4.3…Signal Analysis; 4.3.1 Pitch Estimation; 4.3.2 Cepstral Analysis; 4.3.3 Other Approaches; 4.4…Speech and Speaker Recognition; 4.5…Combining Statistics; 4.6…Databases and Standardisation; References; 5 Established Methods; Abstract; 5.1…Features; 5.1.1 Cepstral Analysis; 5.1.2 Formant Tracks; 5.1.3 Modulation Spectra; 5.1.4 Prosodic Features; 5.1.5 Phonological Features
Titelhinweis	Buchausg. u.d.T.ISBN: 978-1-461-44573-9
ISBN	ISBN 978-1-4614-4574-6
	ISBN 1-283-62432-X ebk
	ISBN 978-1-283-62432-9 MyiLibrary
Klassifikation	TTBM
	UYS
	TEC008000
	COM073000
	621.382
	616.85/5075
	TK5102.9
	TA1637-1638
	TK7882.S65
Kurzbeschreibung	Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders provides a survey of methods designed to aid clinicians in the diagnosis and monitoring of speech disorders such as dysarthria and dyspraxia, with an emphasis on the signal processing techniques, statistical validity of the results presented in the literature, and the appropriateness of methods that do not require specialized equipment, rigorously controlled recording procedures or highly skilled personnel to interpret results. Such techniques offer the promise of a simple and cost-effective, yet objective, assessment of a range of medical conditions, which would be of great value to clinicians. The ideal scenario would begin with the collection of examples of the clients speech, either over the phone or using portable recording devices operated by non-specialist nursing staff. The recordings could then be analyzed initially to aid diagnosis of conditions, and subsequently to monitor the clients progress and response to treatment. The automation of this process would allow more frequent and regular assessments to be performed, as well as providing greater objectivity.
SWB-Titel-Idn	373431880
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-1-4614-4574-6
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Cover

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