Fast transcription of unstructured audio recordings
Author(s)Roy, Brandon Cain; Roy, Deb K.
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We introduce a new method for human-machine collaborative speech transcription that is significantly faster than existing transcription methods. In this approach, automatic audio processing algorithms are used to robustly detect speech in audio recordings and split speech into short, easy to transcribe segments. Sequences of speech segments are loaded into a transcription interface that enables a human transcriber to simply listen and type, obviating the need for manually finding and segmenting speech or explicitly controlling audio playback. As a result, playback stays synchronized to the transcriber's speed of transcription. In evaluations using naturalistic audio recordings made in everyday home situations, the new method is up to 6 times faster than other popular transcription tools while preserving transcription quality.
URL to conference session list. Title is under heading: Wed-Ses1-P1: Phonetics, Phonology, cross-language comparisons, pathology
DepartmentMassachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Proceedings of the 10th Annual Conference of the International Speech Communication Association (INTERSPEECH 2009)
International Speech Communication Association
Roy, Brandon C., Deb Roy. "Fast Transcription of Unstructured Audio Recordings." in Proceedings of the 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009, Brighton, UK, Sept. 6-10, 2009.
Author's final manuscript