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Author: Savyasachi Singh
Publisher:
ISBN:
Category :
Languages : en
Pages : 77
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Book Description
(Regressors) and quality score is the target (dependent) variable. We apply linear regression and other non-linear methods such as Gaussian process regression and support vector regression. These models are trained on a dataset with known perceptual ratings, and thereafter used for prediction. The prediction performance is evaluated using various metrics such as mean-square error and Pearson's correlation coefficient. In this document we study the performance of our system in the intelligibility prediction experiment using a database of 160 sentences collected from 48 Parkinson's patients. The results of intelligibility prediction are encouraging, for example, the correlation between perceptual scores and computed scores is high (>0.9) showing excellent agreement.
Author: Savyasachi Singh
Publisher:
ISBN:
Category :
Languages : en
Pages : 77
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Book Description
(Regressors) and quality score is the target (dependent) variable. We apply linear regression and other non-linear methods such as Gaussian process regression and support vector regression. These models are trained on a dataset with known perceptual ratings, and thereafter used for prediction. The prediction performance is evaluated using various metrics such as mean-square error and Pearson's correlation coefficient. In this document we study the performance of our system in the intelligibility prediction experiment using a database of 160 sentences collected from 48 Parkinson's patients. The results of intelligibility prediction are encouraging, for example, the correlation between perceptual scores and computed scores is high (>0.9) showing excellent agreement.
Author: Ladan Baghai-Ravary
Publisher: Springer Science & Business Media
ISBN: 1461445744
Category : Technology & Engineering
Languages : en
Pages : 74
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Book Description
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.
Author: Petr Sojka
Publisher: Springer
ISBN: 3319455109
Category : Computers
Languages : en
Pages : 565
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Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Text, Speech, and Dialogue, TSD 2016, held in Brno, CzechRepublic, in September 2016. The 62 papers presented together with 3 abstracts of invited talks were carefully reviewed and selected from 127 submissions. They focus on topics such as corpora and language resources; speech recognition; tagging, classification and parsing of text and speech; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; as well as multimodal techniques and modelling.
Author: John E. Bernthal
Publisher: Pearson Educacion
ISBN: 9780133061468
Category : Articulation disorders
Languages : en
Pages : 447
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Book Description
A classic in the field, Articulation and Phonological Disorders: Speech Sound Disorders in Children, 7e, presents the most up-to-date perspectives on the nature, assessment, and treatment of speech sound disorders. A must-have reference, this classic book delivers exceptional coverage of clinical literature and focuses on speech disorders of unknown causes. Offering a range of perspectives, it covers the normal aspects of speech sound articulation, normal speech sound acquisition, the classification of and factors related to the presence of phonological disorders, the assessment and remediation of speech sound disorders, and phonology as it relates to language and dialectal variations. This edition features twelve manageable chapters, including a new chapter on the classification of speech sound disorders, an expanded discussion of childhood apraxia of speech, additional coverage of evidence-based practices, and a look at both motor-based and linguistically-based treatment approaches.
Author: Jont B. Allen
Publisher: Morgan & Claypool Publishers
ISBN: 1598290088
Category : Computers
Languages : en
Pages : 139
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Book Description
This work extended the Bell Labs' speech articulation studies with ideas from Shannon's Information theory. Both Miller and Fletcher showed that speech, as a code, is incredibly robust to mangling distortions of filtering and noise. Regrettably much of this early work was forgotten. While the key science of information theory blossomed, other than the work of George Miller, it was rarely applied to aural speech research. The robustness of speech, which is the most amazing thing about the speech code, has rarely been studied. It is my belief (i.e., assumption) that we can analyze speech intelligibility with the scientific method. The quantitative analysis of speech intelligibility requires both science and art. The scientific component requires an error analysis of spoken communication, which depends critically on the use of statistics, information theory, and psychophysical methods.
Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502417
Category : Technology & Engineering
Languages : en
Pages : 286
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Book Description
Signal and Acoustic Modeling for Speech and Communication Disorders demonstrates how speech signal processing and acoustic modeling can be instrumental in early detection and successful intervention with speech deficits resulting from Parkinson’s disease, Autism Spectrum disorder, cleft palate, intellectual disabilities, and neuro-motor impairments. Utilizing some of the most advanced methods in signal and acoustic modeling, this eminent group of contributors show how such technologies can inure to the benefit of healthcare and to society writ large. Paradoxically, what most of us take for granted still remains a Sisyphean battle for those with speech and language disorders, who struggle every day to make themselves heard and understood. The purpose of this book is to stimulate a vibrant discussion among speech scientists, system designers, and practitioners on how to best marshal the latest advances in signal and acoustic modeling to address some of the most challenging speech and communication disorders affecting a wide variety of patient populations across the world.
Author: Kathryn M. Yorkston
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 408
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Book Description
Author: Juan I. Godino-Llorente
Publisher: Springer Nature
ISBN: 3030656543
Category : Computers
Languages : en
Pages : 133
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Book Description
This book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held in Cambridge, Massachusetts, USA, in September 2019. The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics, neurology, and speech therapy
Author: Kazuhiro Kondo
Publisher: Springer Science & Business Media
ISBN: 3642275060
Category : Technology & Engineering
Languages : en
Pages : 161
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Book Description
It is becoming crucial to accurately estimate and monitor speech quality in various ambient environments to guarantee high quality speech communication. This practical hands-on book shows speech intelligibility measurement methods so that the readers can start measuring or estimating speech intelligibility of their own system. The book also introduces subjective and objective speech quality measures, and describes in detail speech intelligibility measurement methods. It introduces a diagnostic rhyme test which uses rhyming word-pairs, and includes: An investigation into the effect of word familiarity on speech intelligibility. Speech intelligibility measurement of localized speech in virtual 3-D acoustic space using the rhyme test. Estimation of speech intelligibility using objective measures, including the ITU standard PESQ measures, and automatic speech recognizers.
Author: Björn Schuller
Publisher: John Wiley & Sons
ISBN: 1118706625
Category : Technology & Engineering
Languages : en
Pages : 330
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Book Description
This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (‘paralinguistics’) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence. Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics. C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration. Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures. Outlines machine learning approaches including static, dynamic and context‐sensitive algorithms for classification and regression. Includes a tutorial on freely available toolkits, such as the open-source ‘openEAR’ toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.
