Abstract
A weird tone called “yin yang guai qi” has become popular among Chinese youth, especially among Internet surfers. No matter in tone or in emotion, “yin yang guai qi” is very similar to satirical tone, but has its own prosody, phrasing and emotion. Its distinctive linguistic features and unique connotation understanding make it of great significance for research. In this paper, we obtain the audio samples with “yin yang guai qi” tone from some short video websites and reading audio websites. From the acoustic perspective, we judge its existence, and use MLP neural network to simply identify the “yin yang guai qi” tone. Finally, we briefly analyze its application prospect. The results show that the “yin yang guai qi” tone does exist and has very distinct prosodic modulations that can be identified by simple deep learning algorithms. This research focuses on the preliminary exploration of “yin yang guai qi”, which has certain reference value in the future research in this field and the application of artificial intelligence.
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Zhao, R., Chen, Z. (2022). Recognition of Weird Tone in Chinese Communication and Improvement of Language Understanding for AI. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_41
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DOI: https://doi.org/10.1007/978-3-031-06053-3_41
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