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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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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.
Transcription;Labeling;Utterance;Spoken Language;User Interface;
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