Four New Speech and Prosody-Voice Measures for Genetics Research and Other Studies in Developmental Phonological Disorders

1993 ◽  
Vol 36 (1) ◽  
pp. 105-140 ◽  
Author(s):  
Lawrence D. Shriberg
Keyword(s):  
Severity Index ◽  
Speech Disorders ◽  
Conversational Speech ◽  
Multivariate Statistical ◽  
Validity Data ◽  
Measurement Systems ◽  
Phonological Disorders ◽  
Genetics Research ◽  
Citation Form

Research in developmental phonological disorders, particularly emerging subgroup studies using behavioral and molecular genetics, requires qualitative and continuous measurement systems that meet a variety of substantive and psychometric assumptions. This paper reviews relevant issues underlying such needs and presents four measurement proposals developed expressly for causal-correlates research. The primary qualitative system is the Speech Disorders Classification System (SDCS), a 10-category nosology for dichoto mous and hierarchical-polychoto mous classification of speech disorders from 2 years of age through adulthood. The three quantitative measures for segmental and suprasegmental analyses are (a) the Articulation Competence Index (ACI), an interval-level severity index that adjusts a subject’s Percentage of Consonants Correct (PCC) score for the relative percentage of distortion errors; (b) Speech Profiles, a series of graphic-numeric displays that profile a subject’s or group’s severity-adjusted consonant and vowel-diphthong mastery and error patterns; and (c) the Prosody-Voice profile, a graphic-numeric display that Profiles a subject’s or group’s status on six suprasegmental domains divided into 31 types of inappropriate prosody-voice codes. All data for the four measures are derived from one sample of conversational speech, which obviates the limitations of citation-form testing; enables speech assessment as a qualitative, semi-continuous, and continuous trait over the life span; and provides a context for univariate and multivariate statistical analyses of phonetic, phonologic, prosodic, and language variables in multiage, multidialectal, and multicultural populations. Rationale, procedures, validity data, and examples of uses for each measure are presented.

Reliability of Clinician Judgments of Severity of Phonological Impairment

1995 ◽  
Vol 4 (3) ◽  
pp. 39-46 ◽  
Author(s):  
Susan K. Rafaat ◽  
Susan Rvachew ◽  
Rebecca S. C. Russell
Keyword(s):  
Conversational Speech ◽  
Speech Language Pathologists ◽  
Age Appropriate ◽  
Citation Form ◽  
Phonological Abilities ◽  
Preschool Aged Children

Pairs of speech-language pathologists independently rated severity of phonological impairment for 45 preschoolers, aged 30 to 65 months. Children were rated along a continuum from normal to profound. In addition to judging overall severity of impairment, the clinicians provided separate ratings based on citation form and conversational samples. A judgment of intelligibility of conversational speech was also required. Results indicated that interclinician reliability was adequate (80% agreement) for older preschool-aged children (4-1/2 years and above) but that judgments by speechlanguage pathologists were not sufficiently reliable for children under 3-1/2 years of age 40% agreement). Children judged to have age appropriate phonological abilities were not clearly distinguishable from children judged to have a mild delay. Educating speech-language pathologists regarding the normative phonological data that are available with respect to young preschoolers, and ensuring that such data are readily accessible for assessment purposes, is required.

scholarly journals Dysphonia in adults with developmental stuttering: A descriptive study

2017 ◽  
Vol 64 (1) ◽  
Author(s):  
Anél Botha ◽  
Elizbé Ras ◽  
Shabnam Abdoola ◽  
Jeannie Van der Linde
Keyword(s):  
Voice Quality ◽  
Severity Index ◽  
Health Condition ◽  
World Health ◽  
International Classification Of Functioning ◽  
Future Research ◽  
Positive Correlations ◽  
Developmental Stuttering ◽  
Moderate Positive Correlation

Background: Persons with stuttering (PWS) often present with other co-occurring conditions. The World Health Organization’s (WHO) International Classification of Functioning, Disability and Health (ICF) proposes that it is important to understand the full burden of a health condition. A few studies have explored voice problems among PWS, and the characteristics of voices of PWS are relatively unknown. The importance of conducting future research has been emphasised.Objectives: This study aimed to describe the vocal characteristics of PWS.Method: Acoustic and perceptual data were collected during a comprehensive voice assessment. The severity of stuttering was also determined. Correlations between the stuttering severity instrument (SSI) and the acoustic measurements were evaluated to determine the significance. Twenty participants were tested for this study.Result: Only two participants (10%) obtained a positive Dysphonia Severity Index (DSI) score of 1.6 or higher, indicating that no dysphonia was present, while 90% of participants (n = 18) scored lower than 1.6, indicating that those participants presented with dysphonia. Some participants presented with weakness (asthenia) of voice (35%), while 65% presented with a slightly strained voice quality. Moderately positive correlations between breathiness and SSI (r = 0.40, p = 0.08) have been reported. In addition, participants with high SSI scores also scored a poor DSI of below 1.6, as observed by a moderate positive correlation between SSI and DSI (r = 0.41).Conclusion: The majority of PWS presented with dysphonia, evident in the perceptual or acoustic parameters of their voices. These results can be used for further investigation to create awareness and to establish intervention strategies for voice disorders among PWS.

Evaluation of graphical and multivariate statistical methods for classification of water chemistry data

2002 ◽  
Vol 10 (4) ◽  
pp. 455-474 ◽  
Author(s):  
Cüneyt Güler ◽  
Geoffrey D. Thyne ◽  
John E. McCray ◽  
Keith A. Turner
Keyword(s):  
Water Chemistry ◽  
Statistical Methods ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Chemistry Data

The Interaction of Ambient Frequency and Feature Complexity in the Diphthong Errors of Children With Phonological Disorders

2002 ◽  
Vol 45 (6) ◽  
pp. 1188-1201 ◽  
Author(s):  
Stephanie F. Stokes ◽  
Jessica Tse-Kay Lau ◽  
Valter Ciocca
Keyword(s):  
Treatment Guidelines ◽  
Speech Disorders ◽  
Perceptual Analysis ◽  
Error Patterns ◽  
Phonological Disorders ◽  
Frequency Feature

This study examined the interaction of ambient frequency and feature complexity in the diphthong errors produced by Cantonese-speaking children with phonological disorders. A total of 611 diphthongs produced by 13 Cantonese-speaking children with speech disorders were subjected to perceptual analysis. The percentage accuracy of production and error patterns was examined. Perceptual analysis showed that /i/ and /ui/ were most frequently in error, whereas /ei/, /ou/, and /u/ were least frequently in error. Diphthong errors (usually diphthong reduction) arise as a function of both ambient frequency and feature complexity. The combination of ambient frequency and feature complexity yields a complexity metric reflecting accuracy of production. Treatment guidelines include consideration of three basic factors: ambient frequency, feature complexity, and error patterns.

Toward Explainable Automatic Classification of Children’s Speech Disorders

2020 ◽  
pp. 509-519
Author(s):  
Dima Shulga ◽  
Vered Silber-Varod ◽  
Diamanta Benson-Karai ◽  
Ofer Levi ◽  
Elad Vashdi ◽  
...  
Keyword(s):  
Automatic Classification ◽  
Speech Disorders ◽  
Children's Speech

Automated Severity Classification of AIDS Hospitalizations

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S41-S45 ◽  
Author(s):  
Frank W. Stitt ◽  
Ying Lu ◽  
Gordon M. Dickinson ◽  
Nancy G. Klimas
Keyword(s):  
Hiv Risk ◽  
Severity Of Illness ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Severity Classification ◽  
Disease Staging ◽  
Discharge Summaries

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

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