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Semi-automatic phonetic labelling of large corpora

Abstract : The aim of the present paper is to present a methodology to semi-automatically label large corpora. This methodology is based on three main points: using several concurrent automatic stochastic labellers, decomposing the labelling of the whole corpus into an iterative refining process and building a labelling comparison procedure which takes into account phonologic and acoustic-phonetic rules to evaluate the similarity of the various labelling of one sentence. After having detailed these three points, we describe our HMM-based labelling tool and we describe the application of that methodology to the Swiss French POLYPHON database.
Keywords : Automatic labelling
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Contributor : Odile Mella <>
Submitted on : Friday, March 9, 2018 - 11:42:00 AM
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  • HAL Id : hal-01727539, version 1



Odile Mella, Dominique Fohr. Semi-automatic phonetic labelling of large corpora . EUROPSPEECH'97 - Fifth European conference on speech communication and technology, Sep 1997, Rhodes, Greece. ⟨hal-01727539⟩



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