CommonSense: a preprocessing system to identify errors in large transcribed corpora

Ryan Propper; Keyvan Mohajer; Vaughan Pratt

doi:10.1117/12.663836

18 April 2006 CommonSense: a preprocessing system to identify errors in large transcribed corpora

Ryan Propper, Keyvan Mohajer, Vaughan Pratt

Proceedings Volume 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006; 62420B (2006) https://doi.org/10.1117/12.663836
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

A system was designed to locate and correct errors in large transcribed corpora. The program, called CommonSense, relies on a set of rules that identify mistakes related to homonyms, words with distinct definitions but identical pronunciations. The system was run on the 1996 and 1997 Broadcast News Speech Corpora, and correctly identified more than 400 errors in these data. Future work may extend CommonSense to automatically correct errors in hypothesis files created as the output of speech recognition systems.

Citation Download Citation

Ryan Propper, Keyvan Mohajer, and Vaughan Pratt "CommonSense: a preprocessing system to identify errors in large transcribed corpora", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420B (18 April 2006); https://doi.org/10.1117/12.663836

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