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Normative Values for Word Syllable Duration With Interpretation in a Large Sample of Stroke Survivors With Aphasi.

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Title: Normative Values for Word Syllable Duration With Interpretation in a Large Sample of Stroke Survivors With Aphasi.
Authors: Haley, Katarina L.1 KatarinaHaley@med.unc.edu, Jacks, Adam1, Kim, Soomin1, Rodriguez, Marcia1, Johnson, Lorelei P.2
Source: American Journal of Speech-Language Pathology. 2023 Supplement, Vol. 32 Issue 6, p2480-2492. 13p.
Subject Terms: *Speech evaluation, Diagnosis of aphasia, Reference values, Stroke, Physiological aspects of speech, Confidence intervals, Automatic speech recognition, Regression analysis, Stroke patients, Sound recordings, Descriptive statistics, Questionnaires, Research funding, Data analysis software, Disease complications
Abstract: Purpose: Slow speech rate and abnormal temporal prosody are primary diagnostic criteria for differentiating between people with aphasia who do and do not have apraxia of speech. We sought to identify appropriate cutoff values for abnormal word syllable duration (WSD) in a word repetition task, interpret them relative to a data set of people with chronic aphasia, and evaluate the extent to which manually derived measures could be approximated through an automated process that relied on commercial speech recognition technology. Method: Fifty neurotypical participants produced 49 multisyllabic words during a repetition task. Audio recordings were submitted to an automated speech recognition (ASR) service (IBM Watson) to measure word duration and generate an orthographic transcription. The transcribed words were compared to a lexical database, and the number of syllables was identified. Automatic and manual measures were compared for 50% of the sample. Results were interpreted relative to WSD scores from an existing data set of 195 people with mostly chronic aphasia. Results: ASR correctly identified 83% of target words and 98% of target syllable counts. Automated word duration calculations were longer than manual measures due to imprecise cursor placement. Upon applying regression coefficients to the automated measures and examining the frequency distributions for both manual and estimated measures, a WSD of 303–316 ms was found to indicate longer-than-normal performance (corresponding to the 95th percentile). With this cutoff, 40%–45% of participants with aphasia in our comparison sample had an abnormally long WSD. Conclusions: We recommend using a rounded WSD cutoff score between 303 and 316 ms for manual measures. Future research will focus on customizing automated WSD methods to speech samples from people with aphasia, identifying target words that maximize production and measurement reliability, and developing WSD standard scores based on a large participant sample with and without aphasia. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Normative Values for Word Syllable Duration With Interpretation in a Large Sample of Stroke Survivors With Aphasi.
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  Data: <searchLink fieldCode="AR" term="%22Haley%2C+Katarina+L%2E%22">Haley, Katarina L.</searchLink><relatesTo>1</relatesTo><i> KatarinaHaley@med.unc.edu</i><br /><searchLink fieldCode="AR" term="%22Jacks%2C+Adam%22">Jacks, Adam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Soomin%22">Kim, Soomin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Marcia%22">Rodriguez, Marcia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Johnson%2C+Lorelei+P%2E%22">Johnson, Lorelei P.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Speech-Language+Pathology%22">American Journal of Speech-Language Pathology</searchLink>. 2023 Supplement, Vol. 32 Issue 6, p2480-2492. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Speech+evaluation%22">Speech evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis+of+aphasia%22">Diagnosis of aphasia</searchLink><br /><searchLink fieldCode="DE" term="%22Reference+values%22">Reference values</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke%22">Stroke</searchLink><br /><searchLink fieldCode="DE" term="%22Physiological+aspects+of+speech%22">Physiological aspects of speech</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+speech+recognition%22">Automatic speech recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke+patients%22">Stroke patients</searchLink><br /><searchLink fieldCode="DE" term="%22Sound+recordings%22">Sound recordings</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Slow speech rate and abnormal temporal prosody are primary diagnostic criteria for differentiating between people with aphasia who do and do not have apraxia of speech. We sought to identify appropriate cutoff values for abnormal word syllable duration (WSD) in a word repetition task, interpret them relative to a data set of people with chronic aphasia, and evaluate the extent to which manually derived measures could be approximated through an automated process that relied on commercial speech recognition technology. Method: Fifty neurotypical participants produced 49 multisyllabic words during a repetition task. Audio recordings were submitted to an automated speech recognition (ASR) service (IBM Watson) to measure word duration and generate an orthographic transcription. The transcribed words were compared to a lexical database, and the number of syllables was identified. Automatic and manual measures were compared for 50% of the sample. Results were interpreted relative to WSD scores from an existing data set of 195 people with mostly chronic aphasia. Results: ASR correctly identified 83% of target words and 98% of target syllable counts. Automated word duration calculations were longer than manual measures due to imprecise cursor placement. Upon applying regression coefficients to the automated measures and examining the frequency distributions for both manual and estimated measures, a WSD of 303–316 ms was found to indicate longer-than-normal performance (corresponding to the 95th percentile). With this cutoff, 40%–45% of participants with aphasia in our comparison sample had an abnormally long WSD. Conclusions: We recommend using a rounded WSD cutoff score between 303 and 316 ms for manual measures. Future research will focus on customizing automated WSD methods to speech samples from people with aphasia, identifying target words that maximize production and measurement reliability, and developing WSD standard scores based on a large participant sample with and without aphasia. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1044/2023_AJSLP-22-00300
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        Text: English
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      – SubjectFull: Speech evaluation
        Type: general
      – SubjectFull: Diagnosis of aphasia
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      – SubjectFull: Reference values
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      – SubjectFull: Stroke
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      – SubjectFull: Physiological aspects of speech
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      – TitleFull: Normative Values for Word Syllable Duration With Interpretation in a Large Sample of Stroke Survivors With Aphasi.
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