Research on the Statistical-based Artistic Vocal Parameters Model of Hezhou Huaer
Li Ma, Yonghong Li · 2024
This paper conducts a study on the voice parameter model of two Hezhou Huaer performed by the same singer, expressing different emotions in the Hezhou dialect. Using the VoiceLab program, a voice parameter extraction tool developed on the Matlab platform in the laboratory, the study extracted various vocal parameter data, including fundamental frequency (F0), open quotient (OQ), speed quotient (SQ), jitter, and shimmer. Subsequently, data processing is carried out using Matlab and SPSS to construct corresponding vocal emotional models. A comparative study of multiple acoustic parameters of artistic vocalizations under two different emotional states is conducted, aiming to gain a deeper understanding of the relationship between emotions and vocal parameters.