Abstract
With the rapid development of the Internet and artificial intelligence, the demand for data annotation becomes more and more urgent. In order to meet the needs of data annotation, the automatic annotation method of VR speech corpus based on artificial intelligence is designed. The existing annotation methods use word, excel and other text forms, or develop a special web page system to organize the annotation corpus. Then the taggers annotate the corpus in the form of text or web pages. The problems of the existing annotation methods are as follows: the taggers do their own things, label their own data, and there are differences in the annotation standards among taggers; tagging and R&D process are independent of each other and cannot be developed cooperatively; for the labeling errors of the labeling personnel, either they can not be corrected, or they can only be corrected by secondary labeling. These problems limit the efficiency and quality of labeling and R&D.
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Yang, S., Liu, D. Automatic annotation method of VR speech corpus based on artificial intelligence. Int J Speech Technol 25, 399–407 (2022). https://doi.org/10.1007/s10772-021-09952-7
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DOI: https://doi.org/10.1007/s10772-021-09952-7