Thesis (M.A.)--Ohio State University, 1967. / Available online via OhioLINK's ETD Center.

Identifying the severity level of unintelligibility objectively and efficiently holds critical clinical implications for speech assessment and intervention needs. The speech of children who demonstrate phonological deviations is frequently unintelligible. The use of an accurate and time-efficient measurement of intelligibility is necessary to screen children who may be producing phonological patterns that contribute to significantly reduced intelligibility in connected speech. The purpose of this study was to investigate the degree of concurrent validity between scores received on the 1-Minute Measure of Homonymy and Intelligibility (Hodson, 1992) and speech intelligibility as measured by the percent of words understood in connected speech. For this investigation, intelligibility is operationally defined as the percent of words understood in a connected speech sample derived from orthographic transcription. Data collected were from 48 children, aged 4:0 to 5:6, who demonstrated varying levels of phonological proficiency/deficiency. A group of four listeners who had experience treating children with phonological disorders were responsible for completing orthographic transcriptions of the 48 connected speech samples. The two methods of assessing speech intelligibility investigated in this study were found to correlate highly (r = .84). This is considered a significant statistical correlation and therefore the 1-Minute Measure may be used to provide speech-language pathologists with valuable information to predict a child's intelligibility level in connected speech. A regression formula was employed to predict percentage of intelligibility when presented with a child's 1- Minute Measure score. Results from this correlational study suggest that the 1- Minute Measure of Homonymy and Intelligibility may serve as an assessment tool that can provide a speech-language pathologist with some valuable information pertaining to a child's level of intelligibility in connected speech. When used with another speech assessment tool, the 1-Minute Measure may function as a screening measure to identify preschoolers who produce phonological deviations that interfere with intelligibility of conversational speech.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 77-84).

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 59-63). Also available via the Internet.

Thesis (Ph. D.)--University of Nebraska--Lincoln, 2004. / PDF text: [1] leaf abstract, v, 64 leaves dissertation : ill. (some col.). Site viewed on Jan. 25, 2005. Includes bibliographical references (leaves [65-70] of dissertation).

Synthetic speech is a valuable means of output, in a range of application contexts, for people with visual, cognitive, or other impairments or for situations were other means are not practicable. Noise and reverberation occur in many of these application contexts and are known to have devastating effects on the intelligibility of natural speech, yet very little was known about the effects on synthetic speech based on unit selection or hidden Markov models. In this thesis, we put forward an approach for assessing the intelligibility of synthetic and natural speech in noise, reverberation, or a combination of the two. The approach uses an experimental methodology consisting of Amazon Mechanical Turk, Matrix sentences, and noises that approximate the real-world, evaluated with generalized linear mixed models. The experimental methodologies were assessed against their traditional counterparts and were found to provide a number of additional benefits, whilst maintaining equivalent measures of relative performance. Subsequent experiments were carried out to establish the efficacy of the approach in measuring intelligibility in noise and then reverberation. Finally, the approach was applied to natural speech and the two synthetic speech systems in combinations of noise and reverberation. We have examine and report on the intelligibility of current synthesis systems in real-life noises and reverberation using techniques that bridge the gap between the audiology and speech synthesis communities and using Amazon Mechanical Turk. In the process, we establish Amazon Mechanical Turk and Matrix sentences as valuable tools in the assessment of synthetic speech intelligibility.

No description available.

Intelligibility refers to how recognizable a speaker's words are to the listener. Severity, a broader but closely related concept, incorporates intelligibility, disability, and handicap. Many factors influence intelligibility, including speech sound production, voice, and prosody, as well as a number of linguistic and contextual factors. Clinicians and researchers in the field of speechlanguage pathology require accurate measures of intelligibility and severity to assess and describe communicative functioning and to measure change over time. Determining the most accurate and efficient measurement approaches has been the focus of recent attention in the field. This study was a preliminary investigation of the relationship between the Articulation Competence Index (ACI), a severity metric, and the percentage of words understood in continuous speech, the standard measure of intelligibility. Specifically, the study addressed the research question: Is there a significant correlation between the Articulation Competence Index (ACI) and percentage of words understood in samples of continuous speech of 4- and 5-year-olds with varying levels of phonological competence? Subjects were thirty 4- and 5-year-olds from the Portland metropolitan area. Four listeners calculated percentage-of-words scores for each child's 100-word speech sample. These scores were compared to ACI scores calculated by the investigator for each of the samples. The data were analyzed using the Pearson productmoment correlation (Pearson£). A moderately strong correlation (£ = .71 to .81) was found between the ACI and percentage of words understood. Squaring the correlation coefficients resulted in values for £ 2 of .50 to .66, indicating that the ACI accounts for more than half the variability of continuous speech intelligibility.

The purpose of this study was to explore the relationship between occurrence of 10 phonological processes, singly and in groups, with mean percentage of intelligibility of connected speech samples. Participants in the study included 4 adult listeners (3 females, one male) and 46 speakers aged 48 to 66 months (16 females, 30 males). Percentage of occurrence scores for phonological processes (independent variables) were obtained by the administration of The Assessment of Phonological Processes - Revised (Hodson, 1986). Percentage of intelligibility for 100-word connected speech samples (dependent variables) were obtained by orthographic transcription (words understood divided by 100). The single processes showing the strongest negative correlation with intelligibility of connected speech included consonant sequence omission, glide class deficiency, syllable omission, and velar class deficiency, with reliability beyond the .001 level. The combination of consonant sequence omission, syllable omission, nasal class deficiency, and velar class deficiency accounted for 83% of the variance in the dependent variable. In this equation, consonant sequence omission alone accounted for 70% of the variance. Significance is beyond the .05 level for these measures. Results of the study lead to the recommendation that the following phonological processes are high priority targets for remediation: consonant sequence omission, syllable reduction and glide class deficiency, syllable reduction, and velar class deficiency.

Previous research has indicated that speech and linguistic variables develop concurrently. When one aspect of speech and linguistic development is delayed, there are typically associated delays in another area as well. This interactive relationship has been studied extensively in the context of phonological and syntactical development, as well as fluency and syntactical development. The relationship between intelligibility and linguistic proficiency has not been studied as extensively. The purpose of this study was to examine the relationship between varying levels of intelligibility and length and complexity of language in preschool-aged children. Mean length of utterance was correlated with the mean percentage of intelligible words in a continuous speech sample. The following questions were addressed: 1. Does a significant positive correlation exist between MLU and percentage of intelligible words in a continuous speech sample? 2. Are there significant differences in the correlations of MLU and percentage of intelligible words between four groups of young children with a range of intelligibility levels: mild, mild-moderate, moderate-severe, and severe? A continuous speech sample was collected from each of the subjects. Children were separated into four groups based on intelligibility ratings of mild, mild-moderate, moderate-severe, and severe. These ratings were based on the percentage of mean intelligible words in a continuous speech sample. Correlations between mean length of utterance (MLU) and the percentage of intelligible words (PIW) were obtained using the Pearson Product Moment Correlation. Regression analysis was used to determine whether a significant difference exists between the correlations for the four groups of intelligibility. An overall significant positive correlation was found between MLU and PIW when the four groups of subjects were combined. Significant correlations were also found between MLU and PIW for the groups with intelligibility ratings of mild and mild-moderate. No significant correlations were revealed between the two variables for the moderate-severe or severe groups. Regression analysis indicated no significant differences in the correlations for the four groups of intelligibility. This resulted in a failure to reject the null hypothesis that the correlations among the four groups of intelligibility levels will be the same.