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Implement of Semi-automatic Labeling Using Transcripts Text
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 Title & Authors
Implement of Semi-automatic Labeling Using Transcripts Text
Won, Dong-Jin; Chang, Moon-soo; Kang, Sun-Mee;
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 Abstract
In transcription for spoken language research, labeling is a work linking text-represented utterance to recorded speech. Most existing labeling tools have been working manually. Semi-automatic labeling we are proposing consists of automation module and manual adjustment module. Automation module extracts voice boundaries utilizing G.Saha's algorithm, and predicts utterance boundaries using the number and length of utterance which established utterance text. For maintaining existing manual tool's accuracy, we provide manual adjustment user interface revising the auto-labeling utterance boundaries. The implemented tool of our semi-automatic algorithm speed up to 27% than existing manual labeling tools.
 Keywords
Transcription;Labeling;Utterance;Spoken Language;User Interface;
 Language
Korean
 Cited by
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