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Updated: May 10, 2026
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Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
Published on: August 9, 2024
Learning curve of speech recognition.
Tomi A Kauppinen1, Johanna Kaipio, Mika P Koivikko
1HUS Medical Imaging Center, Helsinki University Central Hospital, PO Box 750, 00029, Helsinki, Finland, tomi.kauppinen@hus.fi.
Journal of Digital Imaging
|June 20, 2013
Summary
Radiologists using speech recognition (SR) experience minimal proofing burdens, with new users quickly matching experienced users' efficiency. This technology streamlines patient care by reducing report turnaround times effectively.
Area of Science:
- Medical Informatics
- Radiology
- Health Informatics
Background:
- Speech recognition (SR) can accelerate patient care by reducing report turnaround times.
- Concerns exist regarding prolonged training and increased secretarial workload for radiologists using SR.
- Assessing the learning curve and proofing effort for SR users is crucial for adoption.
Purpose of the Study:
- To evaluate the proofing effort required by radiologists with varying levels of SR experience.
- To estimate the time it takes for new SR users to achieve proficiency comparable to experienced users.
- To analyze factors influencing SR performance, such as report length and error rates.
Main Methods:
- Analysis of 0.25 million SR log entries from 154 radiologists.
- Categorization of radiologists into experienced (11) and new (71) user groups.
- Examination of sound file/report lengths, character-based error rates, and unknown words.
Main Results:
- Experienced users corrected 6 characters/report; new users corrected 11 characters/report.
- New users' reports were initially longer, but experienced users' reports shortened over years.
- While most new users adopted SR quickly, some exhibited unfavorable learning curves with persistent errors.
Conclusions:
- Speech recognition offers significant benefits in reducing report turnaround times for patient care.
- Most radiologists require only minor corrections, indicating successful SR integration.
- Identifying users who struggle with SR is key to providing targeted support and optimizing its use.
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