Interactive Visualization of AI-based Speech Recognition Texts

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079-083.pdf (1.71 MB)
Date
2020
Authors
Wu, Tsung Heng
Zhao, Ye
Amiruzzaman, Md
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Speech recognition technology has achieved impressive success recently with AI techniques of deep learning networks. Speechto- text tools are becoming prevalent in many social applications such as field surveys. However, the speech transcription results are far from perfection for direct use in these applications by domain scientists and practitioners, which prevents the users from fully leveraging the AI tools. In this paper, we show interactive visualization can play important roles in post-AI understanding, editing, and analysis of speech recognition results by presenting specified task characterization and case examples.
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@inproceedings{
10.2312:eurova.20201091
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
Turkay, Cagatay and Vrotsou, Katerina
},
title = {{
Interactive Visualization of AI-based Speech Recognition Texts
}},
author = {
Wu, Tsung Heng
 and 
Zhao, Ye
 and 
Amiruzzaman, Md
},
year = {
2020
},
publisher = {
The Eurographics Association
},
ISSN = {
2664-4487
},
ISBN = {
978-3-03868-116-8
},
DOI = {
10.2312/eurova.20201091
}
}
Citation
URI
https://doi.org/10.2312/eurova.20201091
 https://diglib.eg.org:443/handle/10.2312/eurova20201091
Collections
EuroVA2020