Conference item
Detecting gross alignment errors in the Spoken British National Corpus
- Abstract:
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The paper presents methods for evaluating the accuracy of alignments between transcriptions and audio recordings. The methods have been applied to the Spoken British National Corpus, which is an extensive and varied corpus of natural unscripted speech. Early results show good agreement with human ratings of alignment accuracy. The methods also provide an indication of the location of likely alignment problems; this should allow efficient manual examination of large corpora. Automatic checking...
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- Publication status:
- Not Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
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Authors
Funding
+ ESRC, JISC, and the US National Science Foundation
More from this funder
Funding agency for:
Ladan Baghai-Ravary
Bibliographic Details
- URN:
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uuid:b6438388-68bb-434e-9d73-7c2d32f04557
- Local pid:
- ora:5124
Item Description
- Language:
- English
- Keywords:
- Subjects:
Terms of use
- Copyright holder:
- Greg Kochanski
- Copyright date:
- 2010
- Notes:
- Citation: Baghai-Ravary, L., Grau, S. & Kochanski, G. (2011). Detecting gross alignment errors in the Spoken British National Corpus. Presented at: New Tools and Methods for Very-Large-Scale Phonetics Research, University of Pennsylvania, January 28-31, 2011.
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