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Vowel Acoustics in Parkinson's Disease and Multiple Sclerosis: Comparison of Clear, Loud, and Slow Speaking Conditions
Purpose: The impact of clear speech, increased vocal intensity, and rate reduction on acoustic characteristics of vowels was compared in speakers with Parkinson's disease (PD), speakers with multiple sclerosis (MS), and healthy controls. Method: Speakers read sentences in habitual, clear, loud, and slow conditions. Variations in clarity, intensity, and rate were stimulated using magnitude production. Formant frequency values for peripheral and nonperipheral vowels were obtained at 20%, 50%, and 80% of vowel duration to derive static and dynamic acoustic measures. Intensity and duration measures were obtained. Results: Rate was maximally reduced in the slow condition, and vocal intensity was maximized in the loud condition. The clear condition also yielded a reduced articulatory rate and increased intensity, although less than for the slow or loud conditions. Overall, the clear condition had the most consistent impact on vowel spectral characteristics. Spectral and temporal distinctiveness for peripheral-nonperipheral vowel pairs was largely similar across conditions. Conclusions: Clear speech maximized peripheral and nonperipheral vowel space areas for speakers with PD and MS while also reducing rate and increasing vocal intensity. These results suggest that a speech style focused on increasing articulatory amplitude yields the most robust changes in vowel segmental articulation.
Journal Article
A Motor Speech Assessment for Children With Severe Speech Disorders: Reliability and Validity Evidence
Purpose: In this article, the authors report reliability and validity evidence for the Dynamic Evaluation of Motor Speech Skill (DEMSS), a new test that uses dynamic assessment to aid in the differential diagnosis of childhood apraxia of speech (CAS). Method: Participants were 81 children between 36 and 79 months of age who were referred to the Mayo Clinic for diagnosis of speech sound disorders. Children were given the DEMSS and a standard speech and language test battery as part of routine evaluations. Subsequently, intrajudge, interjudge, and test-retest reliability were evaluated for a subset of participants. Construct validity was explored for all 81 participants through the use of agglomerative cluster analysis, sensitivity measures, and likelihood ratios. Results: The mean percentage of agreement for 171 judgments was 89% for test-retest reliability, 89% for intrajudge reliability, and 91% for interjudge reliability. Agglomerative hierarchical cluster analysis showed that total DEMSS scores largely differentiated clusters of children with CAS vs. mild CAS vs. other speech disorders. Positive and negative likelihood ratios and measures of sensitivity and specificity suggested that the DEMSS does not overdiagnose CAS but sometimes fails to identify children with CAS. Conclusions: The value of the DEMSS in differential diagnosis of severe speech impairments was supported on the basis of evidence of reliability and validity. (Contains 5 tables and 2 figures.)
Journal Article
Dragon NaturallySpeaking for dummies
Command your computer, surf the web, create reports, and more-- with your voice! Dragon NaturallySpeaking is a speech recognition program that lets users dictate into any Windows application, allowing you to access documents, write e-mails, and even update Facebook using only your voice.
Book
Contributions to Gain in Speech Sound Production Accuracy for Children With Speech Sound Disorders: Exploring Child and Therapy Factors
Purpose: The purpose of this study was to explore the extent to which child- and therapy-level factors contribute to gains in speech sound production accuracy for children with speech sound disorders in receipt of school-based services. Method: Data were obtained from 126 kindergarten and first- and second-grade children currently in receipt of speech therapy services in their public school setting. Pretest and posttest measures of spontaneous speech production and language ability were collected at the beginning and end of one academic year. Using a spontaneous speech sample, percentage of consonants correct (PCC) was calculated for each child; a gain score was computed by subtracting the pretest PCC score from the posttest PCC score. The children's speech-language pathologist completed weekly therapy logs during business-as-usual therapy, indicating the frequency, duration, and group composition of services throughout the school year. Results: Results supported that gain in PCC from pretest to posttest was predicted by several child- and therapy-level variables. Children's initial speech sound severity was negatively related to gains in PCC. Our results also supported that the total number of therapy sessions received in a year was positively predictive of PCC gain. Interestingly, the number of individual therapy sessions was negatively associated with PCC gain. Conclusion: Several malleable therapy factors contribute to gains in speech sound accuracy for children with speech sound disorders. Speech-language pathologists should consider how these factors may be manipulated to best tailor treatment to the individual needs of the children on their caseloads.
Journal Article
Differential Diagnosis of Children with Suspected Childhood Apraxia of Speech
Purpose: The gold standard for diagnosing childhood apraxia of speech (CAS) is expert judgment of perceptual features. The aim of this study was to identify a set of objective measures that differentiate CAS from other speech disorders. Method: Seventy-two children (4-12 years of age) diagnosed with suspected CAS by community speech-language pathologists were screened. Forty-seven participants underwent diagnostic assessment including presence or absence of perceptual CAS features. Twenty-eight children met two sets of diagnostic criteria for CAS (American Speech-Language-Hearing Association, 2007b; Shriberg, Potter, & Strand, 2009); another 4 met the CAS criteria with comorbidity. Fifteen were categorized as non-CAS with phonological impairment, submucous cleft, or dysarthria. Following this, 24 different measures from the diagnostic assessment were rated by blinded raters. Multivariate discriminant function analysis was used to identify the combination of measures that best predicted expert diagnoses. Results: The discriminant function analysis model, including syllable segregation, lexical stress matches, percentage phonemes correct from a polysyllabic picture-naming task, and articulatory accuracy on repetition of /p?t?k?/, reached 91% diagnostic accuracy against expert diagnosis. Conclusions: Polysyllabic production accuracy and an oral motor examination that includes diadochokinesis may be sufficient to reliably identify CAS and rule out structural abnormality or dysarthria. Testing with a larger unselected sample is required.
Journal Article