Abstract
We have implemented a voice recognition interface using a Dragon Systems VoiceScribe-1000 Speech Recognition system installed on an AT&T 6310 personal computer. The Dragon Systems DragonKey software allows the user to emulate keyboard functions using the speech recognition system and replaces the presently used bar code system. The software supports user voice training, grammar design and compilation, as well as speech recognition. We have successfully integrated this voice interface in the clinical generation system for most standard mammography studies. We have found that the voice system provides a simple, user-friendly interface which is more widely accepted in a medical environment because of its similarities to tradition dictation. Although the system requires some initial time for voice training, it avoids potential delays in transcription and proofreading. This paper describes the design and implementation of this voice recognition interface in our department.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | Samuel J.III Dwyer, R.Gilbert Jost |
| Publisher | Publ by Int Soc for Optical Engineering |
| Pages | 471-475 |
| Number of pages | 5 |
| Volume | 1234 pt 1 |
| ISBN (Print) | 0819402788 |
| State | Published - 1990 |
| Externally published | Yes |
| Event | Medical Imaging IV: PACS System Design and Evaluation - Newport Beach, CA, USA Duration: Feb 6 1990 → Feb 9 1990 |
Other
| Other | Medical Imaging IV: PACS System Design and Evaluation |
|---|---|
| City | Newport Beach, CA, USA |
| Period | 2/6/90 → 2/9/90 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Voice recognition interface for a radiology information system. / Hinson, William H.; Boehme, Johannes M.; Choplin, Robert; Santago, Peter.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Samuel J.III Dwyer; R.Gilbert Jost. Vol. 1234 pt 1 Publ by Int Soc for Optical Engineering, 1990. p. 471-475.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Voice recognition interface for a radiology information system
AU - Hinson, William H.
AU - Boehme, Johannes M.
AU - Choplin, Robert
AU - Santago, Peter
PY - 1990
Y1 - 1990
N2 - We have implemented a voice recognition interface using a Dragon Systems VoiceScribe-1000 Speech Recognition system installed on an AT&T 6310 personal computer. The Dragon Systems DragonKey software allows the user to emulate keyboard functions using the speech recognition system and replaces the presently used bar code system. The software supports user voice training, grammar design and compilation, as well as speech recognition. We have successfully integrated this voice interface in the clinical generation system for most standard mammography studies. We have found that the voice system provides a simple, user-friendly interface which is more widely accepted in a medical environment because of its similarities to tradition dictation. Although the system requires some initial time for voice training, it avoids potential delays in transcription and proofreading. This paper describes the design and implementation of this voice recognition interface in our department.
AB - We have implemented a voice recognition interface using a Dragon Systems VoiceScribe-1000 Speech Recognition system installed on an AT&T 6310 personal computer. The Dragon Systems DragonKey software allows the user to emulate keyboard functions using the speech recognition system and replaces the presently used bar code system. The software supports user voice training, grammar design and compilation, as well as speech recognition. We have successfully integrated this voice interface in the clinical generation system for most standard mammography studies. We have found that the voice system provides a simple, user-friendly interface which is more widely accepted in a medical environment because of its similarities to tradition dictation. Although the system requires some initial time for voice training, it avoids potential delays in transcription and proofreading. This paper describes the design and implementation of this voice recognition interface in our department.
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UR - http://www.scopus.com/inward/citedby.url?scp=0025657808&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025657808
SN - 0819402788
VL - 1234 pt 1
SP - 471
EP - 475
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Dwyer, Samuel J.III
A2 - Jost, R.Gilbert
PB - Publ by Int Soc for Optical Engineering
ER -