Fast transcription of unstructured audio recordings
Name
Roy_Fast Transcription.pdf
Size
272.87 KB
Format
Adobe PDF
Checksum (MD5)
8d518d38f656f4341996d10c5de30b42
Author(s)
Roy, Brandon C.
Roy, Deb K
Date Issued
September 2009
Journal
Proceedings of the 10th Annual Conference of the International Speech Communication Association (INTERSPEECH 2009)
Publisher
International Speech Communication Association
Citation
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.
Version
Author's final manuscript
Abstract
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.
Description
URL to conference session list. Title is under heading: Wed-Ses1-P1:
Phonetics, Phonology, cross-language comparisons, pathology
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
http://www.interspeech2009.org/conference/programme/sessionlist.php
