Composer Research Articles

An intelligent sparse feature extraction approach for music data component recognition and analysis of hybrid instruments

In this paper, a sparse feature extraction method is presented based on sparse decomposition and multiple musical instrument component dictionaries to address the challenges of existing methods in component-recognition and analysis of mixed musical instrument music data. These methods, which are often dependent on data labels, and rely primarily on frequency domain or physical features, can be improved significantly using this technique. Through the in-depth analysis of the sparse coefficient vectors, this method is capable of generating independent sparse music features that are highly interpretable and have been shown to intuitively express the composition of musical instruments, and capture the variations of emotion in the music. Consequently, this approach has great potential for application in the field of mixed musical instrument composition analysis and other time-varying signal analysis.

The Liturgical Music in the Italian Church

The modern era of liturgical music in the Church in Italy has favored a situation in which a multiplicity of languages, styles and genres that probably characterize its uniqueness in the world scene coexist. We certainly cannot say that we live such a happy era from this point of view. After almost 60 years in which a false concept of liturgical creativity has been operating almost undisturbed, we are faced with an immense variety of situations within which – even in the presence of virtuous and significant experiences – a sort of generalized mediocrity is imposed which is almost all The cornerstones dictated by tradition and redefined by Vatican II. It is more than ever necessary to rediscover some fundamental concepts: the functionality of liturgical music; the music that wears the word; musical forms; thechoice of the repertoire; the need for training; The task of the liturgical music composer.

Continuum of Folk to Pop Music in Bangladesh: A Simple Analysis

Folk music is rooted in the heart and acts as the soul of the culture in Bangladesh. It originated when civilization started in this delta land. Different genres of Bangla music originated in different periods, and Bengali music excelled in the hands of Vaishnava masters. There are various evolutions of folk music practice, but it is still alive. Modern (adhunik) music is from nearly a hundred years ago, and band music was from almost four decades ago. Modern Bengali songs have debuted in our musical theater through the hands of lyricists, music composers, singers, and poets from Rabindranath to Nazrul. Bengali songs stand out for their depth of the subject matter, blending of local and foreign tunes, and superior lyrics. Bengali melodies from the past have undergone numerous changes, but they still have their traditional grandeur. Most contemporary music’s themes are based on Bangladeshi life, culture, and beliefs in use today. The tradition, character, breadth, genesis, and demise of Bangla music in Bangladesh are all evaluated in this study article. This essay also outlines Bangladesh’s transition from folk to pop music, concluding with a discussion of contemporary Bangla music issues.

Analisis Makna Lirik Lagu "Wie Schön Du Bist" Karya Sarah Connor

A song is an artistic composition of tones or sounds in order, combination, and temporal relationships to produce musical compositions that have unity and continuity. In modern times like this, people only enjoy songs as entertainment. Songs are often sung or heard without knowing the meaning of the lyrics. The song "Wie schön du bist" by Sarah Connor is one of the German pop songs that has meaning in its lyrics. The purpose of this research is to find the denotation meaning, connotation meaning, and myth contained in the lyrics of the song "Wie schön du bist" by Sarah Connor. The method used in this research is descriptive qualitative method, with Roland Barthes semiotic approach to find denotation meaning, connotation meaning, and myth contained in the lyrics of the song "Wie schön du bist" by Sarah Connor. The song "Wie schön du bist" has a meaning that refers to a mother's love for her child. A mother's love for her child cannot be compared to anything in this world. A mother's love can influence a child's growth. A child can also make a mother a place to share her heart.

Thaat Classification Using Recurrent Neural Networks with Long Short-Term Memory and Support Vector Machine

This research paper introduces a groundbreaking method for music classification, emphasizing thaats rather than the conventional raga-centric approach. A comprehensive range of audio features, including amplitude envelope, RMSE, STFT, spectral centroid, MFCC, spectral bandwidth, and zero-crossing rate, is meticulously used to capture thaats' distinct characteristics in Indian classical music. Importantly, the study predicts emotional responses linked with the identified thaats. The dataset encompasses a diverse collection of musical compositions, each representing unique thaats. Three classifier models - RNN-LSTM, SVM, and HMM - undergo thorough training and testing to evaluate their classification performance. Initial findings showcase promising accuracies, with the RNN-LSTM model achieving 85% and SVM performing at 78%. These results highlight the effectiveness of this innovative approach in accurately categorizing music based on thaats and predicting associated emotional responses, providing a fresh perspective on music analysis in Indian classical music.

MelodyAI: AI-Powered Melodies Generation

MelodyAI AI-Powered Melodies Generation embodies a cutting-edge exploration at the intersection of artificial intelligence and artistic expression. Drawing inspiration from a seminal research paper on music generation with neural networks, we set out to develop an innovative platform for crafting original musical compositions. Harnessing the potential of advanced deep learning models—such as Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and attention mechanisms—we aspire to revolutionize the way music is created and experienced. Our approach involves the intricate study of the original research, enabling us to adapt and extend the findings to construct a powerful AI-driven system. Our project focuses on unraveling the complexity of musical language and structure, aiming to generate melodies that resonate with human-like creativity and emotion. By leveraging a diverse and extensive dataset and implementing state-of-the-art machine learning techniques, we endeavor to compose melodies that captivate and inspire. MelodyAI AI-Powered Melodies Generation stands as a testament to the transformative potential of machine learning in the realm of artistic innovation. Through this project, we not only aim to craft melodies that touch the soul but also to stimulate a new era of creative collaboration between humans and machines. Keywords: MelodyAI, Music Generation, Artificial Intelligence, Deep Learning Models, Recurrent Neural Networks, Long Short-Term Memory (LSTM), Attention Mechanism.

상황 묘사를 위한 효과적인 영상음악 제작 기법 연구

This study investigates effective video music production techniques for depicting situations in videos through music analysis of music libraries widely used by video workers. When creating music for a video, we start from the stage of creating the music by considering how it can fit the audience's emotions through methodological and musical techniques. In addition, Dramativ, a representative mood, was selected from the universal music library commonly used by video workers, and various detailed elements, including its musical characteristics and instrument composition, were analyzed to suggest music production techniques suitable for the scene. As a result, although there were many areas in which the music production technique vaguely came to mind from the word 'dramatic', there were many similarities, but there were some differences in tempo settings and other areas, as well as specific instrument composition and development methods, tempo settings, Along with tone selection, it was possible to suggest a production method that took advantage of the characteristics of the dramatic mood.

Jazz Music and Intermedial References in Toni Morrison’s Love

Abstract This paper proposes an intermedial reading of Toni Morrison’s Love (2003) and applies the concepts of intermediality theory to discuss the jazz narrative strategies used in the novel. In this article, intermediality is on the one hand associated with the musicalization of fiction; on the other hand, it is viewed from the perspective of expanding the representational modes of a given medium. The article explores the links between jazz music and literature, and argues that the structure of Morrison’s Love has a certain similarity to a jazz music composition. We identify in the structure of the novel a number of solos and the polyphonic overlapping of the voices, and we show that the interaction of voices gives the narrative a dialogic character, which results in multiple interpretations of the complex characters and ambiguous situations. Juxtapositions, temporal shifts, syncopation, rhythmically arranged sequences, meaningful chords, improvisation, repetition and variations are explored and interpreted as jazz narrative strategies. The article identifies a double riff based on counterpoint, and its role in harmonizing the sounds of the voices at the end of the novel. The rich imagery contributing to the performative character of the narrative is analysed. We argue that Morrison’s Love serves as a vivid example of the musicalization of fiction, which results in expanding the representational modes of literature.

A Comprehensive Review on Music Transcription

Music transcription is the process of transforming recorded sound of musical performances into symbolic representations such as sheet music or MIDI files. Extensive research and development have been carried out in the field of music transcription and technology. This comprehensive review paper surveys the diverse methodologies, techniques, and advancements that have shaped the landscape of music transcription. The paper outlines the significance of music transcription in preserving, analyzing, and disseminating musical compositions across various genres and cultures. It also provides a historical perspective by tracing the evolution of music transcription from traditional manual methods to modern automated approaches. It also highlights the challenges in transcription posed by complex singing techniques, variations in instrumentation, ambiguity in pitch, tempo changes, rhythm, and dynamics. The review also categorizes four different types of transcription techniques, frame-level, note-level, stream-level, and notation-level, discussing their strengths and limitations. It also encompasses the various research domains of music transcription from general melody extraction to vocal melody, note-level monophonic to polyphonic vocal transcription, single-instrument to multi-instrument transcription, and multi-pitch estimation. The survey further covers a broad spectrum of music transcription applications in music production and creation. It also reviews state-of-the-art open-source as well as commercial music transcription tools for pitch estimation, onset and offset detection, general melody detection, and vocal melody detection. In addition, it also encompasses the currently available python libraries that can be used for music transcription. Furthermore, the review highlights the various open-source benchmark datasets for different areas of music transcription. It also provides a wide range of references supporting the historical context, theoretical frameworks, and foundational concepts to help readers understand the background of music transcription and the context of our paper.

Research on multi-system interactive pop music composition based on artificial intelligence technology

Abstract The purpose of this paper is to analyze MIDI technology for pop music composition and the application of composition in artificial intelligence. Based on deep learning, a SeqVAE-based music melody generation algorithm is designed, the possibility of a pulse neural network-based music melody generation algorithm is explored, and a multi-system interactive pop music composition system is established and tested. This system's accuracy rate for bass and treble recognition was tested to be 4%, 4.1%, 2.47%, and 2.66, respectively, compared to the traditional recognition rate. The recommendation satisfaction rate was 96 when the number of queries was 50, the response speed increase time was less and kept within 3 seconds, and the CPU occupancy rate was within 40%.

PSYCHOSOMATIC MECHANISMS OF REGULATION OF EXTERNAL RESPIRATION FUNCTION IN CHILDREN WITH BRONCHIAL ASTHMA WHEN LISTENING TO AUDIO SIGNALS OF VARIOUS COMPONENT COMPOSITION

In the treatment of bronchial asthma (BA), an integrated approach is used that includes both drugs and alternative methodsthat infl uence the psycho- emotional state of the patient. In this regard, one of the most powerful methods of psycho- emotional infl uence on a person is musical infl uence.The aim of the research is to study the eff ectiveness of infl uence of audio signals of diff erent amplitude- frequency range on the central mechanisms of regulation of ventilatory capacity of bronchi of patients with asthma.Material and methods. Twenty-fi ve children between the ages of 9 and 14 with clinically diagnosed BA participated in thestudy. Three melodies with diff erent component composition were used. Their amplitude- frequency characteristics were analyzed using the Matlab environment. The sound energy fraction of the studied musical compositions in one-third octave frequency bands throughout the duration of the audio signal was calculated. Statistical processing of the data was performed using IBM SPSS Statistics software.Results. The results of the study indicate that the most eff ective musical infl uence is provided by the audio excerpt from The Magic Flute by W. A. Mozart. It was found that the main spirographic indicators of bronchopulmonary obstruction increase under the infl uence of music, and correspondingly there are changes in the integral characteristics of bioelectrical activity of the brain.Conclusion. The results of the study show reliable normalization of spirography indicators in children with bronchial asthmaunder the infl uence of selected musical melodies of a certain frequency. Eff ectiveness of sound infl uence on central regulation mechanisms of bronchial ventilatory capacity can be used for preventive and therapeutic purposes.

Harmonizing Muffler Design: The Virtuoso Performance based on Inlet Diameter, Outlet Diameter and Material in Orchestrating Transmission Loss

This research paper delves into the intricate relationship between muffler design & acoustic performance, uncovering a symphony of variables that influence transmission loss (TL dB) in muffler systems. This comprehensive analysis explores the impact of inlet diameter, outlet diameter, muffler length, and material choice on noise reduction, presenting a nuanced understanding of their roles in achieving optimal acoustic outcomes. The data reveals that increasing the inlet diameter generally enhances noise reduction, akin to a conductor orchestrating a crescendo of frequencies. This effect is particularly pronounced during the transition from an inlet diameter of 15 to 19, resembling a musical composition reaching a breathtaking climax. Conversely, enlarging the outlet diameter plays a consistent baseline, driving frequencies to higher octaves with unwavering precision.
 Muffler length emerges as a significant factor, the longer mufflers consistently exhibit higher TL values, although exceptions exist. Like a subtle harmony in a musical composition, the length of the muffler occasionally introduces its own unique influence. Material choice, akin to soloists in an orchestra, presents its own set of unique characteristics.
 In the intricate realm of refrigeration systems, where science and engineering converge, refrigerants take centre stage as the virtuoso performers of the heat transfer ballet. With an artful choreography that rivals any stage production, elegant transition of these refrigerants takes place from gas to liquid and back to gas, all the while embracing and relinquishing heat with finesse. It's a performance that keeps our environments comfortable and our perishables preserved. In this captivating spectacle of thermodynamics, a diverse cast of refrigerants takes the limelight. Hydro-fluorocarbons (HFCs) like R-134a and R-410A perform their roles with precision, offering a symphony of cooling capabilities. Hydro-chlorofluorocarbons (HCFCs), once stalwarts of the industry, exemplified by R-22, now take a humble exit, prompted by environmental concerns, as the show must evolve.

Music through Curve Insights

This manuscript endeavors to establish a framework for the mapping of music onto a three-dimensional structure. Our objective is to transform the guitar choruses of Beatles songs into curves, with each chorus corresponding to its respective curve. We aim to investigate and characterize the intricacy of each song by employing mathematical techniques derived from differential geometry, specifically focusing on the total curvature of the chorus curve. Given that a single song may possess varying chord progressions in different verses, the performer can determine the geometric representation they aim to convey through the number of loops and the direction of the curve. The overarching objective of our study is to enable viewers to identify specific songs or motives by visually examining an object and exploring its geometric properties. Furthermore, we posit that these ideas can provide composers with a fresh perspective on their own musical compositions while also granting non-professional audiences a glimpse into the intricacies involved in the process of composing.

Music for All: An Intervention Project in an Artistic School in Portugal

In Portugal, in 2018, an action-research project began to find solutions so that children with cerebral palsy (CP) could learn music in Arts Education Programmes of Music (AEPM). When conducting the characterisation of the child with CP, which gave rise to the study, and a series of literature reviews to find out what has been done in this area, we came across several works related to different Accessible Digital Musical Instruments (ADMIs) which can be employed by users with different needs. In the present case of the child under study, two of these ADMIs were chosen and used because of the opportunities they offer: Netytar and Netychords. These instruments allowed the child to access an artistic school near their residence after the respective admission test. In the Intervention Project (IP), which lasted six months, we analysed how the entry process was carried out, so we qualitatively studied the music teachers' field diary records. This situation included several interviews and conversations with the educational community involved. More specifically, the following were analysed: (i) the process of the child's entry into the artistic school; (ii) the work done by the piano teacher in the first three months of the study; (iii) the curricular adaptations proposed by the music teachers (MTs) of the ensemble and music training class so that the child could fulfil the proposed objectives; and (iv) the arrangements and musical compositions adapted so that the child could fulfil the demands of the school programme. As a result, we noticed that the peers of the child with CP adapted much better to the participation processes in favour of inclusion than the adults involved, probably because among the adults there was fear in the face of a still unknown situation, as is the case of working with a child who accesses information and music teaching unusually. We also noticed the urgent need for specific training and supervision among all involved - MTs, operational assistants (OAs), and parents/guardians (PGs). We were faced with the need for training in minor details such as accompanying the child with CP to move and use the toilet. In other words, it is necessary to prevent and prepare, empowering those involved with a series of skills so that children with special needs can fully and actively participate in this type of education.

테크놀로지를 활용한 중학교 음악 교수·학습 방안

With the rapid pace of digital transformation and technological advancements, there is a clear direction in education to enhance students' digital media literacy, starting with the 2022 National Curriculum; this is also an important task in music education. In line with the trend, this study investigates the types and functions of technology that can be utilized in middle school music education. Additionally, it has developed practical examples of music teaching and learning processes that make use of these technologies. To achieve this, an analysis of the 2015 and 2022 music National Curriculum was conducted, along with discussions on the necessity of technology integration in music curricula; the current middle school music textbooks were analyzed, and literature reviews, website surveys, and interviews with music education technology experts were conducted. As a result, a total of 24 technologies suitable for music activities in the areas of performance, listening, and composition at the middle school level were identified, along with their usage instructions, advantages, and disadvantages. Furthermore, utilizing those technologies, the researchers developed practical teaching and learning guides for the performance and composition areas based on the content of the 2022 music National Curriculum. As a conclusion of the research process, the researchers suggested the importance of developing music technologies that are suitable for the Korean curriculum and school environment, the necessity of learner-driven and critically receptive approaches in utilizing artificial intelligence music composition technologies, and the need for music teachers to take a leading role in the development of music education technologies.

Serial Organization in Krzysztof Penderecki's Threnody to the Victims of Hiroshima

Krzysztof Penderecki and his renowned Threnody to the Victims of Hiroshima (1960) are typi cally associated with sound mass or sonorism. However, Penderecki's sonoristic approach does not necessarily exclude other post-war compositional techniques—Scott Murphy, Wolfram Schwinger, Nelson Mandrell, and Mariusz Kozak have all identified serial tech niques in Penderecki's music in general or in Threnody specifically. As the locus classicus of sound mass compositions, these studies of serialism in Threnody deconstruct rhetorized polarities of twentieth-century musical aesthetics and composition. Neither sound mass nor serial analyses of Threnody, however, have accounted for the role of serial procedures in organizing textural elements. In this analytical vignette, I analyze the organization of extended techniques in mm. 6–9 of Penderecki's Threnody using serial approaches, which yields two benefits. First, it reveals an isography between the or ganization in each measure and the overall organization across all four measures. Second, it encourages the use of similarity measures to consider the compositional goal of this organization. Ultimately, I argue that, much like serialized pitch can be used to obfuscate a tonal center, Penderecki's organization of extended techniques creates a mass of sound without a perceivable pattern—a composed-out alteatoricism.

Structuring Spectra in Electroacoustic Music

This article describes the ways in which the spectra of electroacoustic music compositions can be structured coherently. It begins by describing the straightjacket that composers and listeners are constrained by when using the concept of ‘source bonding’ and how this needs to be discarded for effective listening. It then describes the concept of spectral merging and how ideas of musical timbre are formed, and finally discusses the many ways that spectra can be structured with both harmonic and inharmonic components. Examples are given from the author’s own music and other well-known works in the literature of electroacoustic music.

Analysis of an Indian Classical Music Composition

This research aims to enable analysis of Indian classical music compositions by studying different elements of a composition of vocal music using a statistical method. Indian classical music is an art which is passed on to the next generation through an oral tradition and is mastered by practicing it orally and by listening to it. Writing music has been very minimal in Indian classical music tradition and is essential mainly for the reference purpose. Traditionally, analysis of an Indian classical composition too is done by listening to a composition and by studying its notation. Only medium paced compositions are analyzed in this research. The new method that I have suggested in this research can be used to check whether the results of analyzing a composition traditionally can match the results of analyzing a composition by using the statistical method. This research is a novel way of analyzing a few elements of a composition visually using its graphical representation. Using this method, an individual who understands mathematics and statistics but has a limited understanding of music can attempt to analyze certain elements of a composition. The prominent elements that are analyzed are: Mukhada-beginning of a composition, Sam swara- the swara on which the first beat of a taal is kept, Sthayi and Antara- the two parts of a composition, Taal-a cycle of beats, Laya- distance between two beats of a taal, Raagaroop- a melodic framework for improvisation in Indian classical music and Sahitya- Text of a composition. I have analyzed three elements out of seven using the standard deviation, mean and the graphical representation. The elements are Mukhada, Sthayi-Antara and the Laya. The rest of the elements are analyzed by listening to the composition and by studying its notation.

THE CREATIVE THINKING DEDUCTION OF TRADITIONAL CHINESE PIANO MUSIC ELEMENTS - TAKING CULTURAL WORKS FROM DIFFERENT PERIODS IN HISTORY AS THE MAIN LINE

In the 70 years since the founding of China, piano music has undergone a unique process of development. In the early years of the founding, piano composers tended to favor folk material, focusing on nationalization and mass. This study explores multiple stages in the evolution of creative thinking about traditional elements of Chinese piano music, using the cultural lineage of piano works from different historical periods as the main thread. Among them, the first stage is 1949-1966, the seventeen years of unprecedented prosperity of piano creation in the early years of the founding of the country. To make piano music more accessible to the masses, the subjects of piano works had regional and mass characteristics, the melodies tended to be folk materials while not using overly complex musical language and the melody was served by form, weave, and harmony. The second stage was from 1967 to 1977, the decade of the Cultural Revolution. Although the subject matter could only be pianistic adaptations of model operas, revolutionary songs, and traditional instrumental pieces, it prompted composers to dig deeper into the musical language and explore the perfect use of folk music patterns, traditional branching vocal weaves, and nationalized harmonies in the piano. The third stage is 1978-2019, the period of diversified development. A variety of modern Western music genres influenced Chinese piano music composition. Composers used and modernized ethnic materials to varying degrees, resulting in different approaches to ethnicized subject matter. Non-traditional tonality and dissonant acoustics are two of the main characteristics of the musical language at this stage. Nationalization and modernization are explored in Chinese piano works in multiple ways, with remarkable achievements.

Dual Construction of “Composition” and “Analysis” in Composition and Technical Theory in the Context of Big Data

Abstract Based on big data technology, this paper firstly collects and pre-processes educational resources and builds a dual teaching system based on two basic concepts of “creation” and “analysis”, combining technology and theory. Secondly, the FCM clustering algorithm is used to cluster the student learning data and get the optimal clustering center, and the Lagrange multiplier method is used to optimize the objective function, identify the student learning characteristics, and conduct a dynamic pre-testing assessment. Finally, the quantum optimization algorithm dynamically assigns the assessment data to eliminate redundant data and construct a feature set library for individual student learning. The practical analysis and application results show that the effect feedback in the two courses of composition and orchestration reached 88% and 93%. In the music analysis and music composition assessments, the percentage of the number of students with performance range values of 100-90 averaged 43% and 42.75%, respectively. In addition, 72.97% of the students found the system helpful in independent learning ability. It indicates that the teaching system constructed in this paper can better serve the teaching of composition technique and further improve the teaching model and process.