Hasil untuk "Music"

R. Peterson

Yi-Jen Mon

In deep learning, Long Short-Term Memory (LSTM) is a well-established and widely used approach for music generation. Nevertheless, creating musical compositions that match the quality of those created by human composers remains a formidable challenge. The intricate nature of musical components, including pitch, intensity, rhythm, notes, chords, and more, necessitates the extraction of these elements from extensive datasets, making the preliminary work arduous. To address this, we employed various tools to deconstruct the musical structure, conduct step-by-step learning, and then reconstruct it. This article primarily presents the techniques for dissecting musical components in the preliminary phase. Subsequently, it introduces the use of LSTM to build a deep learning network architecture, enabling the learning of musical features and temporal coherence. Finally, through in-depth analysis and comparative studies, this paper validates the efficacy of the proposed research methodology, demonstrating its ability to capture musical coherence and generate compositions with similar styles.

Gisa Jähnichen

This is a short review-essay on the book “Tìm Hiểu Âm Nhạc Tài Tử XXABSTRACT Cải Lương” by Kiều Tấn. Ho Chi Minh City: Nhà xuất bản tổng hợp Thành phố Hồ Chí Minh.

Szymon Muszynski, Zbigniew Tarapata

This paper describes methods and techniques of measuring similarity of musical pieces. This topic is crucial in plagiarism control and arrangement evaluation as these processes depend in particular on a previous experience and subjective aesthetical feelings of a researcher. Although there are some common frameworks for comparing musical pieces (i.e., some characteristics of compared pieces and details to consider), having a set of comprehensive metrics would allow to make such comparisons more unbiased. We show that such a comparison can be made using a network representation of a track. Tracks are compared using a structural and quantitative similarity between matrices corresponding to these musical pieces. In this article, we describe network representations of music. We introduce a set of specific methods of calculating this similarity and study their characteristics. We also evaluate them on the set of test pieces and provide results. We show that this method can be especially used for detecting instances of plagiarism between pieces and evaluating similarity of created arrangements, thus measuring their “innovativeness”.

Helen J. English, Michelle Kelly, Genevieve A. Dingle et al.

Globally our society is shifting to an older demographic and our lifespan increasing. It is therefore critical that we find and promote solutions to ageing well. There is emerging evidence that engagement in creative activities benefits psychosocial wellbeing and supports cognitive health. However, there are aspects of creative ageing research and implementation that need further development and solution-based thinking. These can be summarized as, (1) providing strong evidence for the benefits of engaging in creative activities; (2) overcoming barriers for participants and researchers; and (3) making engagement in creative activities sustainable. To address these areas, we held a symposium in 2022 and invited stakeholders, including older-adult participants, researchers, practitioners, and aged-care professionals. Symposium participants were allocated into three groups, each with representation from different stakeholders. The groups discussed one of the above areas and then shared ideas with the symposium group. An expert panel led further discussions and sought suggestions for solutions. Key suggestions included involving older adults in research design and planning from the beginning of the process; solutions for accessibility and sense of safety including having “try out” sessions and buddying participants; and creating partnerships with community organizations to promote sustainability. This report summarizes our discussions and advocates for more forums to move the debate forward.

Jenefer M. Robinson

P. Juslin, Simon Liljeström, D. Västfjäll et al.

Masataka Goto, Hiroki Hashiguchi, T. Nishimura et al.

S. Koelsch, T. Gunter, A. Friederici et al.

Catherine Driscoll

M. Leman

Virginie Brinker

Fragments is a collective piece combining poetry, visual arts and music. By focusing on the relationships between texts and images – representative of a lifelong cooperation between the poet, slammer and novelist Marc Alexandre Oho Bambe and the visual artist Fred Ebami – this article aims to show that the chosen format achieves the Relation as exemplified by Glissant, by interweaving aesthetic, philosophical and political principles shared by the authors. Fragments also celebrates the performativity of language, turning the work into a new land, a concrete utopia.

Katarzyna Tatoń, Ireneusz Czajka

Vessel rattles were one of the first sound-producing tools made from clay. Throughout history, they were developed in many ancient cultures, convergently in many places around the world. To obtain a complete picture of the sounds produced by clay rattles, the short-time Fourier transform analysis is used. On top of that, to determine the full spectrum of their acoustical possibilities, numerical reconstruction of sound is done. The results provide us an opportunity to explore the soundscape of the past.

Fabio Wanderley Janhan Sousa

Apresentamos neste trabalho o conceito de espaço extrínseco e, a partir de estudos bibliográficos relacionados ao desenvolvimento sintático e semântico do mesmo, assim como da prática de espacialização em tempo real e da composição de obras para sistemas multicanais, nos direcionamos para a estruturação do que denominamos de Unidades Semióticas Espaciais (USEs). Pretendidas como as menores unidades perceptíveis no domínio do espaço extrínseco capazes de produzir algum significado artístico, as USEs são uma proposta de ferramenta para composição e análise tanto de material sonoro quanto imagético. A partir da proposta de uma grafia para as USEs, apresentamos uma análise do espaço extrínseco de uma composição de música eletroacústica audiovisual realizada pelo autor. Avaliamos vantagens e desvantagens do procedimento adotado na conclusão.

Rachel G. A. Thompson, Jerry John Nutor, Julene K. Johnson

Research has shown that music can be used to educate or disseminate information about public health crises. Grounded in the edutainment approach, we explored how songs are being used to create awareness about COVID-19 in Ghana, a sub-Saharan African country. YouTube was searched, and 28 songs met the study inclusion criteria. We conducted a thematic analysis of the song lyrics. Most lyrics were in English, Ghanaian Pidgin English, Akan, Ga, or Dagbani. Reflecting the multilingual population of Ghana, half of the songs contained three languages to convey their message, and only five songs were in one language. Eight themes emerged from the analysis: public health guidelines, COVID-19 is real and not a hoax, COVID-19 is infectious, prayer as method to stop the virus, emotional reaction and disruption of “everyday” activities; verbally expelling the virus, call for unity and collective efforts, and inspiring hope. We show that songs have the potential as a method for rapidly sharing information about emerging public health crises. Even though, it is beyond the scope of this study to draw conclusions about the reception and impact of songs on awareness and knowledge, the study shows that examining song lyrics can still be useful in understanding local attitudes toward COVID-19, as well as strategies for promoting preventive behaviors. We note that additional multidimensional efforts are needed to increase awareness among the general public about the COVID-19 pandemic.

K. Scherer

M. Thaut

Youngmoo E. Kim, Erik M. Schmidt, R. Migneco et al.

Jiajun Bu, Shulong Tan, Chun Chen et al.

Acoustic-based music recommender systems have received increasing interest in recent years. Due to the semantic gap between low level acoustic features and high level music concepts, many researchers have explored collaborative filtering techniques in music recommender systems. Traditional collaborative filtering music recommendation methods only focus on user rating information. However, there are various kinds of social media information, including different types of objects and relations among these objects, in music social communities such as Last.fm and Pandora. This information is valuable for music recommendation. However, there are two challenges to exploit this rich social media information: (a) There are many different types of objects and relations in music social communities, which makes it difficult to develop a unified framework taking into account all objects and relations. (b) In these communities, some relations are much more sophisticated than pairwise relation, and thus cannot be simply modeled by a graph. In this paper, we propose a novel music recommendation algorithm by using both multiple kinds of social media information and music acoustic-based content. Instead of graph, we use hypergraph to model the various objects and relations, and consider music recommendation as a ranking problem on this hypergraph. While an edge of an ordinary graph connects only two objects, a hyperedge represents a set of objects. In this way, hypergraph can be naturally used to model high-order relations. Experiments on a data set collected from the music social community Last.fm have demonstrated the effectiveness of our proposed algorithm.

Meinard Müller, D. Ellis, Anssi Klapuri et al.