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Related Experiment Videos

[Computerized speech recognition-based endoscopic findings]

B Molnár1, J Gergely, L Prónai

  • 1II. Belgyógyászati Klinika, Semmelweis Orvostudományi Egyetem, Budapest.

Orvosi Hetilap
|June 10, 1998
PubMed
Summary

Speech recognition and synthesis improve gastroscopy reporting and machine control, achieving over 95% accuracy. Further collaboration is needed for routine clinical application of this medical technology.

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Area of Science:

  • Medical technology
  • Speech processing
  • Endoscopy

Context:

  • Gastroscopy reporting and machine control present challenges for efficient data capture and equipment operation.
  • Traditional methods can be time-consuming and prone to errors.

Purpose:

  • To apply discrete, Hidden Markov model-based speech recognition and phoneme-based speech synthesis for gastroscopy reporting and machine control.
  • To develop and evaluate a system for grammatical analysis and speech-based dictation and equipment operation.

Summary:

  • A system utilizing speech recognition achieved over 95% accuracy for gastroscopy reporting and machine control.
  • Grammatical analysis and topographical/pathological grouping of findings were implemented.
  • Speech synthesis was used for system response evaluation and information backup.

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Impact:

  • Demonstrates the potential for speech recognition to reach routine application in medical reporting.
  • Highlights the need for interdisciplinary collaboration between speech technology, endoscopy industry, and end-users for practical implementation.