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.
CITATION STYLE
Paulo, S., & Oliveira, L. C. (2004). Automatic phonetic alignment and its confidence measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3230, pp. 36–44). Springer Verlag. https://doi.org/10.1007/978-3-540-30228-5_4
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