Electroglottographic and Perceptual Evaluation of Tracheoesophageal Speech

  • Kazi R
  • Kanagalingam J
  • Venkitaraman R
 et al. 
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Abstract

To optimize tracheoesophageal (TO) speech after total laryngectomy, it is vital to have a robust tool of assessment to help investigate deficiencies, document changes, and facilitate therapy. We sought to evaluate and validate electroglottography (EGG) as an important tool in the multidimensional assessment of TO speech. This study is a cross-sectional study of the largest cohort of TO speakers treated by a single surgeon. A second group of normal laryngeal speakers served as a control group. EGG analysis of both groups using connected speech and sustained vowels was performed. Two trained expert raters undertook perceptual evaluation using two accepted scales. EGG measures were then analyzed for correlation with treatment variables. A separate correlation analysis was performed to identify EGG measures that may be associated with perceptual dimensions. Our data from EGG analysis are similar to data obtained from conventional acoustic signal analysis of TO speakers. Sustained vowel and connected speech parameters were poorer in TO speakers than in normal laryngeal speakers. In perceptual evaluation, only grade (G) of the GRBAS scale and Overall Voice Quality appeared reproducible and reliable. T stage, pharyngeal reconstruction and method of closure, cricopharyngeal myotomy, and postoperative complications appear to be correlated with the EGG measures. Five voice measures-jitter, shimmer, average frequency, normalized noise energy, and irregularity-correlated well with the key dimensions of perceptual assessment. EGG is an important assessment tool of TO speech, and can now be reliably used in a clinical setting. © 2009 The Voice Foundation.

Author-supplied keywords

  • Electroglottography
  • Laryngectomy
  • Tracheoesophageal speech
  • Voice prosthesis

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Authors

  • Rehan Kazi

  • Jeeve Kanagalingam

  • Ramachandran Venkitaraman

  • Vyas Prasad

  • Peter Clarke

  • Christopher M. Nutting

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