In the paper the multi-level approach to audio files annotation is briefly summarized. The emphasis is mainly placed on the development of annotation rules. Firstly, some general requirements are outlined and more specific markers are listed, which may or may not be included in a particular rule set depending on the given practical task. Then software tools used for creating annotations and its spell-checking are described, and an example of a database created on the basis of the multi-level approach to annotation is given. Lastly, the application of tag sorting in ASR training and testing is discussed.
CITATION STYLE
Glavatskih, I., Platonova, T., Rogozhina, V., Shirokova, A., Smolina, A., Kotov, M., … Zulkarneev, M. (2015). The multi-level approach to speech corpora annotation for automatic speech recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9319, pp. 438–445). Springer Verlag. https://doi.org/10.1007/978-3-319-23132-7_54
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