Corpus acquisition method based on neural network

Xuran Zhang

doi:10.1117/12.3044842

16 January 2025 Corpus acquisition method based on neural network

Xuran Zhang

Author Affiliations +

Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134474R (2025) https://doi.org/10.1117/12.3044842
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China

Abstract

In the wide application of computer technology and multimedia technology, corpus is widely used in linguistic theory research, military field and so on. Especially in the era of big data, the branch of language research with the corpus method as the core has been attached great importance by scholars all over the world, and a large number of corpora have emerged one after another. After scientific selection and effective annotation, corpora with appropriate scale can fully demonstrate and record the use of language, and people can grasp language facts by observing corpora. This paper analyzes the operation rules of language system and provides convenient conditions for language research. On the basis of understanding the current situation of corpus design and application in the new era, this paper mainly explores the speech emotion feature extraction method based on deep neural network. The final experimental results show that the classification of emotion features by extracting statistical features has a good recognition effect, and the corpus acquisition method based on neural network has a large development space.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuran Zhang "Corpus acquisition method based on neural network", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134474R (16 January 2025); https://doi.org/10.1117/12.3044842

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