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Related Experiment Videos

A new insight into postsurgical objective voice quality evaluation: application to thyroplastic medialization.

Claudia Manfredi1, Giorgio Peretti

  • 1Department of Electronics and Telecommunications, Università degli Studi di Firenze, Italy. manfredi@det.unifi.it

IEEE Transactions on Bio-Medical Engineering
|March 15, 2006
PubMed
Summary

A new software tool objectively assesses voice quality recovery after vocal fold surgery, even with degraded speech signals. This aids clinicians in evaluating patient outcomes post-thyroplasty for glottis incompetence.

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Area of Science:

  • Otolaryngology
  • Speech-Language Pathology
  • Acoustic Analysis

Background:

  • Assessing voice quality after vocal fold surgery, particularly medialization thyroplasty for glottis incompetence, is crucial for patient recovery.
  • Current methods like videolaryngostroboscopy (VLS), GRBAS scale, Voice Handicap Index (VHI), and Multi-Dimensional Voice Program (MDVP) have limitations.
  • GRBAS relies on subjective perception, while MDVP struggles with highly degraded speech signals, hindering pre- and post-surgical comparisons.

Purpose of the Study:

  • To introduce novel, objective parameters and plots for assessing voice quality recovery post-vocal fold surgery.
  • To develop a software tool capable of robustly analyzing and comparing voice characteristics before and after surgery, even with severely corrupted signals.
  • To provide clinicians and speech-language pathologists with an easily understandable and usable tool for evaluating surgical outcomes.

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Main Methods:

  • Development of a software tool employing robust analysis techniques for voice signal processing.
  • Focus on analyzing fundamental frequency, noise, and formants in speech signals.
  • Implementation of algorithms designed to handle highly degraded speech signals, enabling pre- and post-surgical comparisons.

Main Results:

  • The new tool successfully performs objective analysis of voice characteristics, even in severely corrupted signals.
  • New objective parameters demonstrated good correlation with established methods like the GRBAS scale and modified MDVP parameters.
  • The software facilitates consistent and objective pre- and post-surgical voice quality assessment.

Conclusions:

  • The proposed software tool offers a reliable method for objective voice quality assessment after vocal fold surgery.
  • It can effectively overcome the limitations of existing subjective and objective measures, especially with degraded signals.
  • This approach provides deeper insights into voice recovery, potentially replacing or integrating current evaluation methods for improved clinical decision-making.