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Detecting gross alignment errors in the Spoken British National Corpus

Abstract:

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

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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Research group:
Phonetics Laboratory
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Research group:
Phonetics Laboratory
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Research group:
Phonetics Laboratory
Role:
Author
More from this funder
Funding agency for:
Baghai-Ravary, L
Grant:
MiningaYearofSpeechin"DiggingintoData"
RES-062-23-2566,RES-062-23-1172,
RES-062-23-1323,
Host title:
New Tools and Methods for Very-Large-Scale Phonetics Research
Language:
English
Keywords:
Subjects:
UUID:
uuid:b6438388-68bb-434e-9d73-7c2d32f04557
Local pid:
ora:5124
Deposit date:
2011-03-15

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