Comparison of automatic speech recognition systems
File(s) 21831_a_comparison_of_online_automat.pdf (170.15 KB)
Accepted version
OA Location
Author(s)
Type
Conference Paper
Abstract
High-quality transcription systems are required for conversational analysis systems. We compared two manual transcribers with five automatic transcription systems using video conferences from a medical domain and found that (1) manual transcriptions significantly outperformed the automatic services, and (2) the automatic transcription of YouTube Captions significantly outperformed the other ASR services.
Date Issued
2022-11-01
Date Acceptance
2021-08-12
Citation
Lecture Notes in Electrical Engineering, 2022, 943, pp.123-131
ISBN
9789811955372
ISSN
1876-1100
Publisher
Springer Verlag
Start Page
123
End Page
131
Journal / Book Title
Lecture Notes in Electrical Engineering
Volume
943
Source
International Workshop on Spoken Dialog System Technology
Publication Status
Published
Start Date
2021-11-15
Finish Date
2021-11-17
Coverage Spatial
Singapore
Date Publish Online
2022-11-01
