Abstract
This paper presents automatic alignment of Russian phonetic pronunciations using the information about phonetic nature of speech sounds in the aligned transcription sequences. This approach has been tested on 24 hours of speech data and has shown significant improvement in alignment errors has been obtained in comparison with commonly used Levenstein algorithm: the numbers of error has been reduced from 1.1% to 0.27%.
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Kocharov, D. (2014). Automatic alignment of phonetic transcriptions for Russian. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8773, pp. 123–128). Springer Verlag. https://doi.org/10.1007/978-3-319-11581-8_15
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