Musical Trends Research Articles

Application Analysis of Big Data-Driven Algorithm Music Creation Generation System

In the field of music, music generation systems based on big data-driven algorithms have become an important research direction. This paper aims to explore the application of big data-driven algorithmic music generation systems in music creation and music education. Through the statistical analysis of the user’s operation record of the music, and the prediction of the artist’s music listening volume in the next stage, it can be judged that the artist’s music listening volume is the highest in a period of time, these artists, as music ambassadors of their respective eras, not only represent a sound, but are also leaders and promoters of music trends. In order to more accurately grasp and predict the dynamics of the music market, especially the popularity of specific artists, this paper proposes an innovative data analysis method that combines quadratic exponential smoothing, autoregressive moving average (ARIMA) model, and BP (backpropagation) neural network model. Quadratic exponential smoothing is a time series prediction technique that predicts future trends by smoothing historical data. This method is particularly effective in handling data with obvious trend and seasonal characteristics, and is also applicable for predicting the number of artist auditions in the music industry. It can help us capture long-term trends in the popularity of artists and provide a basis for prediction. This paper discusses the application prospect of a music generation system driven by big data algorithms in music creation and music education.

Exploring Spotify's Music Popularity Dynamics and Forecasting with Machine Learning

Abstract. Spotify, one of the largest music streaming service providers, boasts a vast user base and an extensive music catalog. To gain a deeper understanding of Spotify users' music preferences and behavioral patterns, this paper conducts a thorough analysis and explores the correlation between music features and user behavior. It collects Spotify users' music listening data and extracts various music features such as energy, danceability, valence, and beats per minute (BPM). These features not only reflect the musical style and rhythm but also potentially correlate with users' preferences and listening habits. Then we employ two machine learning models, Decision Trees and Random Forests, to model and analyze Spotify users' behavior data. Through these models, we can accurately identify potential relationships between music features and user behavior. The experimental results indicate that music features such as energy, danceability, valence, and BPM have a significant impact on users' music selection and preferences. By analyzing the most popular songs on Spotify over different time periods, we discover that songs with high energy, danceability, and valence tend to be more popular among users. This finding not only validates the correlation between music features and user behavior but also reveals the user preferences and market demands behind music trends. For music streaming service providers, understanding users' music preferences and behavioral patterns is crucial. By deeply analyzing user data, music streaming services can better satisfy users' needs, enhance user experience, and stand out in the fiercely competitive market. These findings have important practical implications for music streaming service providers and provide new insights and methodologies for the research and development of the music industry.

Magnificat: an exploration of sacred music in the United States

The landscape of sacred music in the United States is broad and wide and cannot be neatly defined into a collective approach or style. The boundaries of Roman Catholic sacred music in America have been expanding further and further since the establishment of the liturgical reforms outlined by the Second Vatican Council’s Constitution on the Sacred Liturgy (Sacrosanctum Concilium), and it was through this new sense of “freedom” that alternative styles of liturgical music emerged during the past 60 years. Interestingly, the state of Minnesota was at the center of this liturgical music revolution as composers associated with the University of St. Thomas, St. John’s University, and St. Catherine’s University composed a large portion of ‘new’ liturgical music. This article explores the musical trends of the past 60 years in the United States, and offers suggestions regarding the practice and education of sacred music in America and beyond.

Rebranding of Ukrainian Folk Choral Art in the 21st Century

Purpose of the work. The study analyses the rebranding policy of folk choral art in the 21st century and identifies new approaches to its preservation and popularisation in the context of globalisation and the rapid development of information technologies. Research methodology involves the combination of empirical methods (observation, data collection, interviewing), systematic and analytical methods, which allowed for identifying the leading trends in updating approaches to promoting Ukrainian folk choral art in the 21st century. Scientific novelty. For the first time in Ukrainian musicology, rebranding is being explored as a new approach to the preservation and popularisation of folk choral art in the conditions of globalisation and the development of information technologies. Rebranding policy acts as a key tool for revitalising the folk music tradition, increasing interest in traditional culture, and integrating folk choral art into the modern cultural space. Conclusions. Rebranding of folk choral art is essential for its functioning in modern conditions and for attracting new audiences, especially young people. The creation of multimedia projects and the use of social networks make folk choral art more accessible and appealing. The integration of elements from other cultures into folk choral performances contributes to updating its format and cultural integration while preserving the authenticity of Ukrainian art. The theatricalisation of performances, the use of traditional Ukrainian costumes, scenography, and choreography enhance the emotional impact on the audience, shaping a modern image of the Ukrainian folk song. Rebranding helps folk choral groups not only make folklore one of the leading musical trends in Ukraine but also reach an international level, fostering intercultural communication and promoting Ukrainian art abroad.

The Mediating Effect of Artificial Intelligence on the Relationship Between Cultural Heritage Preservation and Opera Music: A Case Study of Shanxi Opera

Cultural heritage preservation, as the approach is known, and the enduring role it plays in safeguarding the culture and cultural values of Shanxi Opera is becoming even more important these days. Despite uncertainty and apprehension about utilising artificial intelligence, this matter is worth scrutiny in relation to the field of opera music. This may be so, as apart from these two occurrences, this field does not receive mention. This research aims to explore the effect of AI as a conduit for message emulation between the Shanxi Opera tradition and the preservation of heritage and the opera music genre. The study employed a combination of qualitative and quantitative research methods, which used the survey data and cultural heritage preservation and opera music experts' perception data. I then employed partial least squares structural equation modelling (PLS-SEM) to interpret existing AI utilisation and to understand the role of AI as a mediator in this scenario. The outcome of the study implies that the existence of AI will not only boost the contribution of cultural heritage conservation but also positively impact the early stages of the contemporary revival of Shanxi Opera music. AI not only helps in heritage preservation but also makes it easier to include modern audiences. It introduces new musical trends and styles that are more engaging with the current audience. This paper lays out certain practical applications of artificial intelligence AI as a key to appreciating the human cultural heritage. It is the AI-driven contribution to opera music superiority that stands as the hallmark of technology. The outcomes showcase a one-of-a-kind perspective that indicates the ability of policymakers, cultural heritage preservers, and opera commuters to bridge the gap between traditional and modern technologies through AI. Research has stressed the essence of enlisting AI as a typical tool today to preserve cultural heritage. This, in turn, largely contributes to the development of dramatic genres such as opera. It serves as a rather remarkable point of interface between the cutting-edge realms of technology and cultural legacy, illustrating how AI can virtually reshape the artistic world.

Young consumers' online experiential consumption behavior of foreign contemporary music: generational and gender differences in the refined stimulus-organism-response theory

PurposeThis study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.Design/methodology/approachThe author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.FindingsThe refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.Practical implicationsThe study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.Originality/valueThe authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

Analysis Coldplay Jakarta Concert: Fear Of Missing Out (Fomo) Phenomenon On Tiktok Platform

The era of globalization and advances in information technology have changed people's consumptive behavior in entertainment and music. Music is an important component in everyday life as a medium of self-expression. Research (Qadri, 2008), (Asriyani, 2019) , and Raharjo (2018) highlights the importance of music concerts in maintaining cultural heritage and enculturation, as well as strengthening audience bonds with modern and popular attitudes while maintaining authenticity. The objective of this research is to identify and analyze how the phenomenon of Fear of Missing Out (FoMO) related to the Coldplay concert in Jakarta is presented and disseminated through the TikTok platform. Additionally, this study aims to explore the role of TikTok as a social media platform in triggering and amplifying feelings of FoMO among users in this context. Furthermore, the research seeks to assess the impact of TikTok content about the Coldplay concert on user behavior, identify the demographic groups most vulnerable to FoMO through TikTok usage, and determine the influencing factors. This theory, developed by Katz and Gurevitch, was used from a concert-goer perspective, specifically the phenomenon of TikTok fear of missing out on the Coldplay concert in Jakarta. This research recorded details and collected data from five informants aged 20-29 who are fans of music concerts and Coldplay, using purposive sampling method. The interviews revealed that FoMO (Fear of Missing Out) plays an important role in individuals' motivation to follow music trends and entertainment events. FoMO negatively impacts mental and emotional health, as well as finances, and leading to consumptive behavior.

The Emergence of Cantopop from Hong Kong's Cultural History from the 1930s to the 1980s

In the 1980s and 90s, Hong Kong-born Cantopop music reached a climax of popularity throughout Asia. The genres development serves as a lyrical mirror reflecting Hong Kongs unique cultural history. First inspired by popular musical forms from the 1920s, its development serves as an artistic resolution to the competition between Asian self-awareness experienced by the British colonys Chinese majority and local pride generated by living in a wealthy Western oasis sheltered from much of the instability that plagued neighboring countries. Cantopop as a distinct cultural product is defined by major historical shifts in Hong Kongs history, from rebellion against British colonial hubris to the aftermath of World War II, international relations during the Korean War, the immigration of musical artists from Mainland China and Taiwan, local reactions to events in China, and Hong Kongs uneven economic advancement as an Asian Tiger. These events would leave a mark on the local Hong Kong identity, expressed musically through Cantopop, as waves of immigration and borrowing from foreign traditions formed a new and distinct political, social and cultural identity. This paper traces and explains this musical development by juxtaposing Hong Kongs history with changing musical trends.

A Theoretical Review Towards a Conceptual Framework for Creating ‘Neoclassic Big-Band Highlife Music’

It is a truism that highlife, Ghana’s first acculturated popular music, presents various styles employing various musical ensembles and playing to different audiences. However, the diverse highlife stylistic trends have declined in musical works recently due to generational differences and tastes. As a result, modern-day recorded highlife compositions sound similar and, in some cases, the same. Despite its iconicity in Ghanaian popular music, it is also quite surprising that highlife music still struggles for compositional and theoretical relevance in Ghanaian academic programmes of schools, colleges and universities. This paper, therefore, presents a characterisation of the diverse highlife music trends as an attempt to develop a conceptual framework for creating ‘neoclassic big-band highlife music’ that transcends diverse styles and generational tastes. Drawing on my experience as a highlife practitioner and music educator, I reviewed theories, concepts, and literature relevant to highlife music to conceptualise a framework for creating works that transcend the generational differences and tastes of highlife music. This paper expands the frontiers of highlife music practice and scholarship. Therefore, it is not just a recommendation but a call to action for Music composition professors to adopt this conceptual framework as a blueprint to begin a taught course on ‘Highlife Music Composition’ in music institutions. The involvement of Music composition professors in this process is crucial to enhancing the structural and theoretical trajectory of highlife music.

Songs Classification Problem Research by Genre Based on Neural Network

This article explores the use of neural networks for classifying musical compositions by genre based on their audio characteristics. With the increasing availability of large musical datasets and advancements in computational technologies, this topic has gained significant relevance. The article emphasizes the importance of selecting and processing audio features, particularly focusing on Mel-Frequency Cepstral Coefficients (MFCC), which reflect the key sound characteristics essential for genre identification. The approach to creating a neural network capable of effectively processing these characteristics and classifying songs is examined within the research. It outlines the main challenges associated with classification accuracy, error calculation, and the need to adapt to rapidly changing musical trends. This article also reviews and constructs a test neural network for classifying songs into three genres, creates diagrams to depict classification accuracy, and shows the distribution of each class by frequency characteristics. Additionally, it analyzes recent research in this field and highlights the importance of using MFCC. The article illuminates not only the technical aspects of creating and training neural networks for song classification but also the significance of such systems in the context of the widespread availability of musical content. It underscores the role of these systems in enhancing the quality of recommendation services, providing a more comprehensive musical experience to users, and supporting artists and musical styles. In conclusion, the article contributes valuable insights into the potential of neural networks in song genre classification, pointing to future research and development directions in this area.

The impact of globalization on performance musicology: Challenges and opportunities for music education in the 21st Century

Contemporary globalisation has a significant impact on the development of musical art. The aim is to analyse the socio-cultural aspects of performing musicology in the context of globalisation of music education. The implementation of this study involves the use of the following scientific methods. The content analysis and the method of systematization were used. The results of the study demonstrate that contemporary performing music trends in the arts are important components of socio-cultural spaces. They reflect not only the social transformations caused by globalisation of music that are taking place in society, but also have a direct impact on the formation of the artistic trend in general. It is demonstrated that there are bilateral relations that consist in the complex coexistence between music and society. It is also determined that in modern conditions, the main practical task of today's performers is to convey their thoughts and feelings to the audience. The conclusions emphasise that in order to work effectively with modern artistic, educational and musicological environments, future specialists should master various means and methods of performing expression. It is recommended to deepen the use of digital technologies to achieve a new level of performance skills.

“The Third Notebook of Travels” by Liudmyla Fedorova-Kohanska as an example of a bandurist’s concert repertoire

Statement of the problem. One of the central problems faced by the modern bandurа performer is the insufficient amount of current repertoire that would correspond to modern musical trends and, at the same time, the audience’s preferences. In order to solve the problem of updating the repertoire of a modern bandura player, it is important to attract in the performance practice the works by modern Ukrainian composers. The article examines the instrumental cycle for solo bandura titled “The Third Notebook of Travels” by Ukrainian composer Liudmyla Fedorova-Kohanska. The focus is on identifying important artistic and technical principles that play a significant role in the professional development of modern academic bandura players. The recent research and publications show that there is limited literature analyzing contemporary compositions for the bandura, particularly those by Liudmyla Fedorova-Kohanska. Prior research has primarily focused on traditional repertoires and techniques, leaving a gap in understanding the contribution of modern works to the evolution of bandura performance. Objectives, methods, and novelty of the study. The study aims to determine the artistic and pedagogical significance of “The Third Notebook of Travels” within the context of the repertoire needs of bandura players. By analyzing this cycle, the research seeks to highlight its impact on enhancing performance skills and its importance in the academic training of bandura musicians. The first scientific understanding of the cycle and its introduction into the musicological and, importantly, performance circulation determines the relevance and the novelty of the research topic. The study offers a novel perspective on the work`s role in developing comprehensive musicianship of a bandure player, including technical proficiency and interpretative abilities. The study employs a detailed analytical approach, examining the musical structure, thematic development, and technical requirements of the cycle. Results and conclusion. The analysis reveals that performing “The Third Notebook of Travels” as an entire cycle is crucial for developing bandura players’ artistry. It enhances their technical skills, endurance, and large-scale musical thinking. The cycle’s diverse technical demands and expressive range make it an essential component of the modern bandura repertoire, fostering a deeper understanding of contemporary Ukrainian music. “The Third Notebook of Travels” by Liudmyla Fedorova-Kohanska significantly contributes to the professional growth of bandura players. Its inclusion in academic programs can enhance the pedagogical framework, providing students with challenging and enriching repertoire. This cycle not only advances technical skills but also cultivates interpretative depth and musical versatility

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CLUSTERING OF POPULAR SPOTIFY SONGS IN 2023 USING K-MEANS METHOD AND SILHOUETTE COEFFICIENT

The rapid advancement of technology and globalization in this era has brought about comprehensive and easily accessible music streaming services, one of which is Spotify. According to Kompas.com, Spotify has experienced a rise in subscribers up to 130 million, as a platform that offers various features besides music streaming. Spotify also provides a better user experience and has the ability to compete with other music streaming platforms. The mission of this research is to classify popular Spotify song data in 2023, which can aid in a deeper understanding of listener preferences or music trends. Based on the test results, there were 2 clusters obtained with cluster 0 containing 863 data and cluster 1 containing 90 data. From the testing results conducted in the K-Means analysis, a Silhouette Coefficient of 0.81 was obtained, which falls into the category of Strong Structure. From these results, it can be suggested that cluster formation was done very well to provide more personalized and relevant music recommendations to Spotify platform users. By understanding the preferences and patterns of listeners revealed through clustering, streaming services can enhance user experience by providing more tailored content.

Отражение социально-политических процессов в период Второй мировой войны в музыке на примере тенденций Германии и Великобритании

The article elaborates upon the analysis of the reflection of socio-political processes during the World War II in music on the examples of musical trends of Germany and the UK. Based on the comparison of the peculiarities of musical wartime culture in these countries, the authors come to the conclusion that music as a tool of gov-ernmental influence on public conscientiousness was used by both sides during the years of the World War II. In addition, evident disparities are revealed in the meaning of music for society and the state, in the methods and reasons for the transformation of the musical direction of culture: its use as an element of propaganda or a symbol of protest against violence, the reflection of consolidation level of society or escapism, the transfor-mation of the axiological field of the population. The article may be useful in scientific studies and educational process in the field of domestic history and social philosophy.

Features of Vocalist Li Huiqiao’s Interpretation of Some Works by R. Strauss

. In the history of world music, there are many bright musical trends that stand out for their uniqueness and originality. One of these trends is German chamber vocal music, distinguished by its emotional depth and grace of performance. The greatness of this genre’s art has inspired many musicians around the world, including 20th-century Chinese performers, to interpret and recreate its sound. At fi rst glance, the Chinese musical tradition and German chamber music seem to be different in terms of aesthetic and cultural concepts, as well as unique musical instruments and performance techniques. However, it is in this contradiction and interaction that the vocal unique strength lies. Chinese performers of the 20th century, being outstanding musicians and artists of their time, not only refl ected the cultural heritage of their country, but also sought cultural enrichment through the perception of other musical traditions. It was in this context that they turned their attention to German chamber vocal music, whose value lies in its depth and emotional power.

K-pop 걸그룹 뉴진스의 음악에 나타난 모드 선율기법 특징 연구

The purpose of this study is to analyze the aspects of mode melody techniques that appear in the music of K-pop girl group NewJeans, derive their characteristics, and use them as meaningful reference material in understanding the musical trends of contemporary K-pop. A musical analysis was performed by selecting eight songs from NewJenes, which are continuing to be a hit not only in the domestic K-pop market but also on the Billboard charts. The criteria for selecting the research subject was to analyze only songs that were as influential as possible by selecting only songs from NewJenes' music that stayed in the top 200 of the Billboard Global Chart for more than 100 days. As a research method, we first adopted an approach to analyze the use pattern of modal interchange by distinguishing common notes with regularity of major and minor scales in the use of tonal music and mode music through previous research data. As a result, the type of mode used in NewJeans' music differed in form depending on the function of the song as a whole, with a total of three types of mode used in various ways in the four songs studied, and the pentatonic scale used in the remaining song. The implication was drawn that NewJeans' K-pop presents diversity in the use of melody. It has been confirmed that K-pop is not just a performance-oriented music, but is developing to include musical depth and diversity.

Cultural Harmony in Education: A Comparative Study of Traditional and Modern Music Teaching Methods in Kazakhstan

This paper presents a comparative study of traditional and modern methods of music teaching in Kazakhstan, exploring how these approaches coexist and complement each other in the current educational landscape. It examines the integration of Kazakhstan's rich musical heritage with contemporary educational techniques, highlighting the balance between preserving cultural identity and embracing global music trends. The study involves a literature review and case studies from various educational institutions across Kazakhstan. It discusses the impact of such integration on students' musical skills, cultural awareness, and creative development. The paper also addresses the challenges and opportunities in harmonizing traditional Kazakh music with modern pedagogical practices. The findings reveal the importance of a diversified approach to music education, which not only fosters a deeper appreciation of Kazakh cultural heritage but also equips students with a broad range of musical competencies.

Musical Trends and Social Movements: Examining the Role of Pop Music in Cultural Shifts Rap as an Indicator of the Protest Potential of Generation Z

Musical Trends and Social Movements: Examining the Role of Pop Music in Cultural Shifts Rap as an Indicator of the Protest Potential of Generation Z

Analysis of Spotify's Audio Features Trends using Time Series Decomposition and Vector Autoregressive (VAR) Model


 Streaming is the most popular music consumption method of the current times. As the biggest streaming platform based on subscriber number, Spotify stores miscellaneous information regarding the music in the platform, including audio features. Spotify’s audio features are descriptions of songs features in form of variables such as danceability, duration, and tempo. These features are accessible via Application Programming Interface (API). On the other hand, Spotify also publishes their own charts consisting of 200 most streamed songs on the platform (based on regions) which are updated daily. By combining Spotify’s song charts and the songs’ respective audio features, this research conducted analysis on musical trends using time series modelling. First, the combined data is decomposed to extract the trend features. Second, a Vector Autoregressive (VAR) model is built and followed by forecasting of the audio features. Lastly, the performance of forecasted values and the actual observations is evaluated. As a result, this research has proven that musical trends can be forecasted in the future for a short period by using VAR model with relatively low error.