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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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Voice recognition software can be used for scientific articles.

Hans-Christian Pommergaard1, Chenxi Huang, Jacob Burcharth

  • 1Kirurgisk Gastroenterologisk Afdeling D, Herlev Hospital, Herlev Ringvej 75, 2730 Herlev, Denmark. hcpommergaard@gmail.com.

Danish Medical Journal
|January 31, 2015
PubMed
Summary
This summary is machine-generated.

Voice recognition software (VRS) offers an acceptable alternative for transcribing scientific articles, with accuracy improving after vocabulary expansion. Further research into software training is recommended for enhanced performance.

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Area of Science:

  • Scientific Writing
  • Medical Transcription
  • Speech Recognition Technology

Background:

  • Dictation is an efficient method for drafting scientific articles.
  • Standardized transcription services may not be universally accessible to researchers.
  • Voice recognition software (VRS) presents a viable alternative for transcription.

Purpose of the Study:

  • To evaluate the out-of-the-box accuracy of voice recognition software (VRS).
  • To assess the impact of vocabulary expansion on VRS performance.
  • To determine the subjective readability of VRS-transcribed scientific articles.

Main Methods:

  • Eleven young researchers dictated scientific article drafts using VRS (Dragon Nuance Premium 12.5).
  • VRS transcriptions were compared to those by an experienced secretary.
  • Error rates per 100 words and subjective readability (Likert scale) were analyzed.
  • The effect of adding 15,000 and 5,000 words to the VRS vocabulary was investigated.

Main Results:

  • The median error rate was 18 errors per 100 words, decreasing with vocabulary expansion.
  • Subjective readability was rated as understandable (median score of 5/10).
  • Readability improved with the addition of 5,000 words to the VRS vocabulary.

Conclusions:

  • Out-of-the-box VRS performance for scientific article dictation is acceptable.
  • Adding words to the VRS vocabulary significantly improves accuracy and readability.
  • Further investigation into specialized software accuracy training is warranted.