China Conservatory

“Spring Dawn in Gusu” is an Erhu piece composed and performed by the renowned Erhu performer Deng Jiandong, and it is characterized by a strong Jiangnan musical style. This paper first introduces Deng Jiandong’s musical learning experience and its influence on the composition of “Spring Dawn in Gusu”. It then analyzes the musical style of the piece: the work embodies the Jiangnan Sizhu style, adopts the pentatonic scale, and draws on the formal structure of complete sets of vocal patterns in traditional opera music, including Sanban, Yuanban, Zhongban, and Kuaiban (1/4 meter), which gives the piece a dramatic character, depicts a vivid picture of spring in full bloom in the city of Gusu, and highlights the distinctive charm of Jiangnan music, in which undulation is found within gentleness and change is concealed within delicacy. Finally, this paper examines the left- and right-hand Erhu playing techniques, such as supported-finger glissando, vibrato, grace notes, and position shifting, and, in combination with the author’s own performance experience, seeks a reasonable interpretation of the music.

Abstract Background Social anxiety is a common psychological problem among teenagers, manifested as excessive fear and self-awareness in social situations. Social anxiety hinders the development of teenagers' social skills, thereby causing serious negative impacts on interpersonal relationships and future development. Music therapy is an alternative treatment method that provides a non-threatening environment for emotional exploration and social interaction. Involving teenagers in music activities through music therapy can alleviate their anxiety and enhance their potential for emotional expression. Therefore, by studying and analyzing the therapeutic effect of music therapy on social anxiety and its impact on the improvement of social skills, it is expected to provide a certain theoretical basis for mental health guidance in colleges and universities. Methods Randomly select 100 teenagers diagnosed with social anxiety from a certain university. Participants were randomly assigned to the music therapy group, totaling 50 people, and the traditional therapy group, totaling 50 people. The music therapy group received an 8-week music therapy intervention, while the traditional treatment group received no intervention at all. Before and after the intervention, the social anxiety levels and social skills of the participants were evaluated using the Social Anxiety Scale and the Social Skills Scoring System. Results The improvement of social anxiety and social skills in each group is shown in Table 1. As can be seen from Table 1, the music therapy group showed significant improvements in both social anxiety and social skills (p<.01), and the social anxiety score decreased from 62.4 ± 6.1 before the intervention to 45.8 ± 5.3, while the social skills score increased from 28.7 ± 4.2 to 38.9 ± 4.6. Although the traditional treatment group had an improvement effect on teenagers' social anxiety and social skills, the improvement effect was poorer compared to the music therapy group. This result indicates that music therapy has a positive effect on alleviating social anxiety and enhancing social skills. Music therapy effectively improves social anxiety and social skills by providing a safe and supportive environment, enabling teenagers to express their emotions through music, enhance their self-awareness and social interaction skills. Discussion Research results show that music therapy can significantly improve the social skills of teenagers with social anxiety. The effect of music therapy stems from its unique emotional expression and social interaction mechanism, providing teenagers with a non-verbal communication method, which helps to reduce social anxiety and enhance social skills. Future research can further explore the long-term effects of music therapy and how to combine it with other treatment methods to provide more comprehensive mental health support. Furthermore, exploring the specific mechanisms by which music therapy affects social skills can provide valuable insights for the development of targeted intervention measures.

In the network era, the audience of popular music gradually occupies a dominant position in the breadth and depth of its dissemination. In this paper, we take its propagation path and audience behavior as the research entry point, integrate Bi-RNN recurrent neural network and attention mechanism, and establish a user classification model of popular music based on the integration of Bi-RNN and attention mechanism. User interest label data is introduced for the characteristics of popular music, and a deep model is used for classification, combined with the cross-entropy loss function to obtain the objective function, to build a popular music user interest classification model. The out-degree is selected as the node's low-order topological feature, combined with the cohomology value of the high-order topological feature, to form the evaluation index of the node's propagation ability (out-degree-cohomology index). By exploring the communication path and referring to the framework of Fogg's behavioral model, we set the paying behavior as the dependent variable, and selected a total of 9 independent variables from the three major categories of motivation, ability, and triggering, to construct a model of the influencing factors of the paying behavior of the popular music audience. After correlation and regression analyses, there existed a total of seven variables, namely perceived entertainment, perceived sociality, perceived cost, service quality, perceived ease of use, audition experience and content push, which showed a significant positive correlation with popular music audience behavior (r>0,P<0.01).

This article aims to explore the interaction between sound knowledge and sound perception, especially in subjects with absolute pitch (AP). The study used fMRI scanning technology to explore two specific objectives: first, to test whether the brain system related to sound perception was actually activated when retrieving knowledge related to pitch through language stimuli; The second is to compare the speed and accuracy of subjects with absolute pitch perception and those without absolute pitch perception in terms of sound perception and sound memory retrieval association. The research results are expected to provide support for the view that there is a direct overlap between conceptual knowledge and perceptual systems, and further verify the correctness of the "embodied simulation" theory. In addition, the study also proposed further research directions, namely exploring the influence of absolute pitch ability on spatial perception ability of pitch and the similarities and differences in the neural basis between absolute pitch test subjects and other subjects when corresponding to CMC across modalities.

Abstract The concept of irrational envelope numbers and some properties of their polynomial range were introduced in this paper. The paper proves the number of two intervals forming a unit circle of Circumference 1, proposes a method of rolling subtraction to find the number of musical tones needed for any small comma in music, and finally gives the cent value of the interval corresponding to some envelope numbers.

Work engagement refers to the sustained and active involvement of primary and secondary school music teachers. This study investigated music teachers in Chongqing, examining how turnover intention influences work engagement and exploring the moderating and mediating roles of self-efficacy and educational background (specifically, whether teachers were trained in normal schools). Using a turnover intention scale, a self-efficacy scale, and a work engagement scale, the study found that (1) self-efficacy partially mediates the relationship between turnover intention and work engagement, and (2) educational backgrounds in normal schools moderate this mediation. These findings shed light on the mechanisms through which turnover intention affects work engagement and provide a basis for strategies to enhance the work engagement of primary and secondary school music teachers.

This study investigates the impact of destination image in online tourism on tourists’ intention to travel in person, as well as the role that immersive experience plays in this relationship. Using data collected from 644 tourists, the findings suggested that the three dimensions of destination image in online museum visits are all significantly positively related to the immersive experience, and it worked the same way to tourist satisfaction. Both the immersive experience and satisfaction during online museum visits are significantly positively related to tourists’ intention to visit the site in person. Among the three dimensions of destination image, cognitive image and overall image are significantly positively related to tourists’ intention to visit the actual site, while the emotional image has no significant correlation with the intention to visit in person.

The application of spatial audio in VR plays an important role in creating a sense of immersion. However, there are still some challenges in using spatial audio in VR: It is hard to design a purely virtual soundscape in VR. And if the virtual content is out of the ordinary, it may cause auditory disharmony and conflicts among sound sources if spatial audio design is only based on the purpose of realism. This study establishes a prototype of VR spatial audio mixing system, which sound elements can be adaptively adjusted according to the content viewed by users. In order to verify the actual effect of the system, the study further conducted corresponding user experiments, evaluating the perception of spatial audio in a VR prototype from five dimensions: "Naturalness", "Presence", "Preference", "Localization", and "Source Envelopment", and carried out structured interviews. The experiment showed that the application of the system could effectively improve the user's perception effect of VR spatial audio and bring a better sound experience. Based on this research, we hope to further develop an intelligent spatial audio system that can autonomously adjust and process sound effects based on the viewing behavior of VR users in the future.

The recognition of specific instrument components and key points from images and videos is a significant challenge in various music technology applications. To solve this problem, this study proposes the use of deep neural network models trained with synthetic datasets. Currently, convolutional neural networks (CNNs) rely heavily on manually annotated training data for instrument feature estimation, which is time-consuming and impractical for detailed instrument features. To address this, we propose a synthetic dataset approach based on guitar features, utilizing guitar CAD models and static background images for realistic rendering. The synthetic datasets allowed us to train object detection and semantic segmentation models that achieved results comparable to those trained on real datasets. Moreover, we proposed a guitar keypoint detection network and trained it using synthetic datasets, achieving a mAP@0.5 score of 0.935 on the real validation set. These findings offer new ideas and methods for addressing data annotation challenges in instrument pose estimation, supporting applications such as guitar fingerings estimation and automatic sheet music transcription in instrument information retrieval.

Abstract The Yugurs (裕固族) are a minority nationality with a long history and ancient cultural tradition. In the past forty years, due to the rapid development of China’s economy, the production and lifestyles of Yugur people have undergone tremendous changes. Yugur concepts of folk song have changed markedly. Some old folk songs have died out, with compositions called “new folk songs” coming into being. Yugur people realize that the preservation of their traditional culture is of fundamental importance in their national existence, and the preservation of traditional folk songs is a vital part of the maintenance of their traditional culture. Therefore, much has been done to preserve their traditional folk songs and culture.