Abstract
In this paper we propose the use of an HMM-based phonetic aligner together with a speech-synthesis-based one to improve the accuracy of the global alignment system. We also present a phone duration-independent measure to evaluate the accuracy of the automatic annotation tools. In the second part of the paper we propose and evaluate some new confidence measures for phonetic annotation.
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© 2004 Springer-Verlag Berlin Heidelberg
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Paulo, S., Oliveira, L.C. (2004). Automatic Phonetic Alignment and Its Confidence Measures. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_4
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DOI: https://doi.org/10.1007/978-3-540-30228-5_4
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