Transcribing Southern Min Speech Corpora with a Web-Based Language Learning System

Jun Cai 1, * Jacques Feldmar 1 Yves Laprie 1 Dominique Fohr 1 Jean-Paul Haton 1
* Corresponding author
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The paper proposes a human-computation-based scheme for transcribing Southern Min speech corpora. The core idea is to implement a Web-based language learning system to collect orthographic and phonetic labels from a large amount of language learners and choose the commonly input labels as the transcriptions of the corpora. It is essentially a technology of distributed knowledge acquisition. Some computeraided mechanisms are also used to verify the collected transcriptions. The benefit of the scheme is that it makes the transcribing task neither tedious nor costly. No significant budget should be made for transcribing large corpora. The design of a system for transcribing Min Nan speech corpora is described in detail. The application of a prototype version of the system shows that this transcribing scheme is an effective and economical way
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Jun Cai, Jacques Feldmar, Yves Laprie, Dominique Fohr, Jean-Paul Haton. Transcribing Southern Min Speech Corpora with a Web-Based Language Learning System. International Conference on Audio, Language and Image Processing - ICALIP 2008, Jul 2008, Shangai, China. ⟨inria-00336375⟩

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