Paper
1 August 2022 A preliminary study on the acoustic characteristics of Hua’er singing
Jing Wang, Li Ma, Yonghong Li
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 1225720 (2022) https://doi.org/10.1117/12.2640363
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
This paper collects three singing methods of Hua'er 《 White peony Ling 》 and analyzes four acoustic parameters: duration, energy, fundamental frequency and long-term average spectrum.In terms of duration, the longest pronunciationduration of cry singing is mainly due to the long pause between its sections.From the perspective of energy distribution, the energy value of crying singing is greater than the other two, and the energy dispersion is also greater. Fromtheperspective of fundamental frequency distribution, the peak value of fundamental frequency from vast mountains singingmethod to crying singing method to cheerful singing method gradually changes to the low-frequency area, and fromthevalue of standard deviation, it is gradually changing. The dispersion of fundamental frequency of vast mountains singingmethod is large.From the long-term average spectrum, the change forms of LTAS curves of the three singing methodsare very similar, and the spectral envelope characteristics are similar. The average LTAS curve position of cheerful singing method is the lowest, and it is considered that there is a singer formant in Hua'er singing.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Wang, Li Ma, and Yonghong Li "A preliminary study on the acoustic characteristics of Hua’er singing", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 1225720 (1 August 2022); https://doi.org/10.1117/12.2640363
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KEYWORDS
Acoustics

Chest

Analytical research

Instrument modeling

Lithium

Spectrum analysis

Signal analysis

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