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Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)最新文献

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Expressividade de instrumentos musicais digitais - Just push play 数字乐器的表现力-只需按下播放
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19458
Gabriel Lopes Rocha, F. Schiavoni
A criação de um instrumento musical digital é uma atividade que atrai músicos e pesquisadores há décadas e certamente possui problemas em abertos sobre os quais estas pesquisas tem se debruçado. Certamente, criar um instrumento pode ser uma tarefa simples que consiste em organizar uma interface de forma que ela sirva para fazer som. No entanto, esta interface simples pode estar distante do que consideramos um instrumento musical quando pensamos que gerar som pode não ser a única coisa que buscamos ao tocar um instrumento.
几十年来,数字乐器的创造一直是一项吸引音乐家和研究人员的活动,当然也有一些悬而未决的问题,这些研究已经解决了。当然,创建一个乐器可能是一个简单的任务,包括组织一个界面,使它能够发出声音。然而,这个简单的界面可能与我们所认为的乐器相去甚远,因为我们认为产生声音可能不是演奏乐器时唯一寻求的东西。
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引用次数: 0
Lick the Toad: a web-based interface for collective sonification 舔蛤蟆:一个基于网络的集体声音界面
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19444
K. Vasilakos
Lick the Toad is an ongoing project developed as a web based interface that runs in modern browsers. It provides a custom made platform to collect user data accessed from mobile devices, such as smartphones, tablets etc. The system offers a tool for interactive collective sonification aiding the idea of networked music performance. It can be used in various contexts, such as onsite installation, interactive compositional tool, or for the distribution of raw data for live coding performances. The system embeds neural network capabilities for prediction purposes by using user input and outputs/targets alike. The inputs and the targets of the training processes can be adapted according to the needs of the use making it a versatile component for creative practice. It is developed as open-source project and it works currently as a NodeJS application with plans for future deployment on remote server to support remote communication and interaction amongst distant users.
Lick the Toad是一个正在进行的项目,它是一个基于web的界面,可以在现代浏览器中运行。它提供了一个定制的平台来收集从移动设备(如智能手机、平板电脑等)访问的用户数据。该系统为交互式集体发声提供了一种辅助网络音乐表演的工具。它可以在各种环境中使用,例如现场安装,交互式组合工具,或用于现场编码表演的原始数据分发。该系统通过使用用户输入和输出/目标来嵌入用于预测目的的神经网络功能。培训过程的输入和目标可以根据使用的需要进行调整,使其成为创造性实践的多功能组成部分。它是作为一个开源项目开发的,目前作为一个NodeJS应用程序工作,计划未来部署在远程服务器上,以支持远程用户之间的远程通信和交互。
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引用次数: 0
A preliminary study of Augmented Musical Instruments for Study (AMIS) using research through design 基于设计研究的增强型学习乐器的初步研究
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19438
E. S. Silva, G. Cabral, Rodrigo Mendes de Carvalho Pereira
The emergence of Digital Musical Instruments (DMIs) in the computer music field has been providing new means of interaction with music performances. Particularly, with the advancements in the Internet of Things (IoT) area, there has been an increase in augmented musical instruments containing LEDs within their own bodies to support music learning. These instruments can help musicians by having the capabilities to display musical notes, chords and scales. This research uses research through design to present a preliminary study of some of the challenges related to the design of these instruments and attempts to provide some insights associated with their usability and development, particularly related to the development of an augmented acoustic guitar, the VioLED, developed alongside the company Daccord Music. The system provides three modes of operation: song mode, solo/improvising mode and animation mode. The preliminary results present challenges and obstacles pertinent to usability and development of these instruments identified in different iterations of design. These challenges are associated with areas such hardware-software co-design, usability, latency/jitter, energy consumption, etc.
数字乐器(dmi)在计算机音乐领域的出现为音乐表演提供了新的互动手段。特别是,随着物联网(IoT)领域的进步,内置led的增强型乐器越来越多,以支持音乐学习。这些乐器可以通过显示音符、和弦和音阶的能力来帮助音乐家。本研究通过设计研究,对这些乐器的设计所面临的一些挑战进行了初步研究,并试图提供一些与它们的可用性和开发相关的见解,特别是与Daccord Music公司开发的增强型原声吉他VioLED的开发有关。该系统提供三种操作模式:歌曲模式、独奏/即兴模式和动画模式。初步结果提出了在不同设计迭代中确定的这些工具的可用性和开发相关的挑战和障碍。这些挑战涉及软硬件协同设计、可用性、延迟/抖动、能耗等领域。
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引用次数: 0
An open source platform to assist the creation of group playlists through artificial intelligence algorithms 一个开源平台,通过人工智能算法帮助创建群组播放列表
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19442
Flaviano Dias Fontes, G. Cabral, Geber Ramalho
Recommendation systems are a constantly expanding study area, with applications in various fields such as e-commerce, films, music to promote the user’s suggestions. When we talk about music, we have more than 20 years of studies trying to solve the problem of a good generation of playlists that maximizes the satisfaction of a larger number of listeners. For automated automatic playlist generation methods focusing on a user group, we have the collaborative filter as a more assertive method to get the user’s not likely, to improve the performance of group recommendation algorithms we store the preferences of users Especially I did not like it by placing the availability of using this data as an algorithm input parameter. The platform described in This paper is intended to facilitate testing between these recommendation systems, standardizing data entry, and facilitating requests. The use of GraphQL as a framework associated with Apollo as a library, greatly facilitates the integration of these APIs, as the separation of data sources makes it possible to associate Spotify data with Deezer or Apple Music data, these data are stored in the database of the connection, so that in future requests it will no longer be necessary to consult the Spotify API, thus facilitating the consumption of data from the artificial intelligence algorithms, as well as a possible sharing of songs between services, since all services have an ISRC code to identify the songs.
推荐系统是一个不断扩大的研究领域,应用于电子商务、电影、音乐等各个领域,促进用户的建议。当我们谈论音乐时,我们有超过20年的研究,试图解决一个好的一代播放列表的问题,以最大限度地提高更多听众的满意度。对于专注于用户组的自动自动播放列表生成方法,我们有协作过滤器作为一种更自信的方法来获得用户的不可能,为了提高组推荐算法的性能,我们存储了用户的偏好,特别是我不喜欢通过将使用该数据的可用性作为算法输入参数。本文描述的平台旨在促进这些推荐系统之间的测试,标准化数据输入,并促进请求。使用GraphQL作为框架与Apollo作为库相关联,极大地促进了这些API的集成,因为数据源的分离使得将Spotify数据与Deezer或Apple Music数据相关联成为可能,这些数据存储在连接的数据库中,因此在未来的请求中将不再需要咨询Spotify API,从而促进了人工智能算法的数据消费。以及在服务之间共享歌曲的可能性,因为所有服务都有一个ISRC代码来识别歌曲。
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引用次数: 0
Challenges to generate musical visualizations 生成音乐可视化的挑战
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19437
Rute Moura, G. Cabral, Jader Abreu, Mychelline Cunha, Horhanna Almeida
The technological acceleration of recent years has allowed for significant advances in data processing and the study of Music, an art with richly expressive and communicative information. In this article, we bring reports of experiences and contributions in the treatment of musical data extracted from digital MIDI and sound files, for the development of systems that generate musical visualizations.
近年来的技术加速使得数据处理和音乐研究取得了重大进展,音乐是一门具有丰富表现力和交流性信息的艺术。在本文中,我们将介绍从数字MIDI和声音文件中提取音乐数据的处理经验和贡献,以开发生成音乐可视化的系统。
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引用次数: 0
grainBirds: Evolutionary granular synthesisers distributed in Fog Computing grainBirds:分布在雾计算中的进化颗粒合成器
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19432
J. Manzolli, Edelson Henrique Constantino
The article presents the grainBIRD concept inspired by a distributed fog of grain sounds metaphor. Shortly, granular synthesizers are distributed in a mobile devices network. Applying Interactive Genetic Algorithm (IGA) and exchanging Open Sound Control (OSC) messages in a Virtual Private Network, grainBIRDs generate sound grains in standalone and network configurations. The grainBIRDs concept dialogues with the Internet of Things (IoT) paradigm since it was inspired by Cloud and Fog computing architectures. In this sense, this article presents the grainBIRD and grainBIRD Orchestra concepts, followed by a review on Computer Music and Network technologies related to the project. The article also discusses the computer implementation of the grainBIRD application using the Pure Data programming environment and concludes with performance tests of the network communication feasibility and the system sound generation capacities.
本文提出了grainBIRD概念,灵感来自于一个分布式的谷物雾的声音隐喻。简而言之,颗粒合成器分布在移动设备网络中。grainBIRDs应用交互式遗传算法(IGA)和在虚拟专用网中交换开放声音控制(OSC)消息,在独立和网络配置中生成声音颗粒。grainBIRDs概念与物联网(IoT)范式对话,因为它受到云和雾计算架构的启发。在这个意义上,本文介绍了grainBIRD和grainBIRD管弦乐队的概念,然后回顾了与该项目相关的计算机音乐和网络技术。本文还讨论了在Pure Data编程环境下grainBIRD应用程序的计算机实现,并对网络通信可行性和系统声音生成能力进行了性能测试。
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引用次数: 0
CEGeME 2021 - Gestos, Movimentos, Performance musical e Pandemia geegeme 2021 - Gestos, movimento, Performance musical e pandemic
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19463
M. Loureiro, A. Silva, A. B. O. Neto, Davi Mota, F. B. Barros, F. Schiavoni, Gustavo Machado Oliveira, Luis de Souza da Silva, Ravi Shankar Viana Domingues, Renato Rodrigues Lisboa, T. Magalhaes, T. Campolina, Tiago Lima Bicalho Cruz
O CEGeME - Centro de Pesquisa em Gesto e Expressão Musical é filiado ao Programa de Pós-Graduação em Música da Universidade Federal de Minas Gerais (UFMG), sediado na Escola de Música de Belo Horizonte, Brasil, desde 2008 é dedicado à pesquisa empírica da performance musical, que partem de informação de conteúdo musical extraída de sinais de áudio e da posição espacial tridimensional dos músicos, registradas durante uma performance musical. Com o objetivo de estabelecer uma abordagem musicológica a diferentes aspectos da expressividade musical, investigamos relações causais entre a intenção expressiva dos músicos e a forma como manipulam o material acústico e como se movem durante a execução de uma peça musical. O grupo atraiu postulantes de estudos de diversas áreas de conhecimento e músicos profissionais instigados por questões específicas envolvidas na expressividade musical, tais como, estudos sobre o uso da segunda válvula do trombone baixo moderno para obter um melhor legato, os parâmetros acústicos do filtro-fonte no trompete, as emoções faciais presentes na performance de cantores líricos, os parâmetros acústicos e psicoacústicos associados a diferentes preparações de palheta do oboé, a modelagem espectral do ataque de notas na clarineta, análise do timbre musical baseada em aprendizado de máquina, estudos de parâmetros acústicos e cinemáticos associados à execução da transição de notas em legato na clarineta, análise da articulação na performance de uma peça para clarineta de Debussy, aplicações sonológicas na educação musical, influência da consistência na interpretação na coesão da performance da música de câmara e o desenvolvimento de software na plataforma python criado para dar suporte às demandas da pesquisa conduzida no CEGeME.
CEGeME -研究中心在手势和表情是研究生的附属节目音乐在音乐的联邦大学的米纳斯吉拉斯。(UFMG),位于巴西贝洛奥里藏特市音乐学校,从2008年开始致力于研究实证的音乐表演,安宁的音乐内容信息提取音频信号和音乐家的三维空间位置,记录了一个音乐表演。为了建立一种音乐学的方法来研究音乐表达的不同方面,我们研究了音乐家的表达意图与他们如何操纵声学材料以及他们在演奏音乐时如何移动之间的因果关系。吸引大家来研究各领域知识和专业音乐人由具体问题相关的音乐表现力,比如,研究第二瓣长号的低水平为目标的现代连奏的源参数的滤波器在喇叭,面部表情的情感礼物在表演的歌剧演员,不同制剂相关的参数和psicoacústicos里德的双簧管、单簧管的光谱建模方法在攻击的基于机器学习音乐的形态分析,研究相关的运动学参数和实现转型的乐句的钞票在单簧管,分析互动表演的单簧管演奏德彪西的一出戏,应用sonológicas的音乐教育,解释一致性对室内乐表演凝聚力的影响,以及为支持CEGeME研究需求而创建的python平台上的软件开发。
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引用次数: 0
Desafios da Internet das Coisas Musicais 音乐物联网的挑战
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19459
Alexandre Thomé da Silva de Almeida, R. Vieira, R. S. Oliveira, F. Schiavoni
A internet das Coisas Musicais é uma área de pesquisa que pretende levar a conectividade da Internet das Coisas para o campo da música e das artes. Junto com esta tecnologia surge a possibilidade de conexão de diferentes coisas musicais em um ambiente de concerto ou de criação artística que permitiria, por exemplo, a participação do público nestes processos, tanto de maneira presencial, por meio de uma rede local, quanto remoto, por meio da Internet. Neste trabalho trazemos algumas discussões sobre a IoMusT e também suas possibilidades e desafios.
音乐物联网是一个旨在将物联网连接带到音乐和艺术领域的研究领域。随着这项技术的出现,在音乐会或艺术创作的环境中连接不同的音乐事物的可能性,例如,允许公众参与这些过程,无论是面对面的,通过本地网络,还是远程的,通过互联网。在这项工作中,我们带来了一些关于IoMusT的讨论,以及它的可能性和挑战。
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引用次数: 1
Playing Time-Variant Audio Feedback Networks 播放时变音频反馈网络
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19443
A. Monteiro
This article presents practical and artistic contributions to the field of computational musical systems based on audio feedback networks which have been used as instruments for music creation in the author's artistic practice. The article begins with an introduction to the research field of feedback and selforganized music systems. Later on two systems are presented: the first is a network of cross-modulated sinusoidal oscillators (by frequency modulation), and the second is a network of transforming processes of pre-recorded sound samples.
本文介绍了基于音频反馈网络的计算音乐系统领域的实际和艺术贡献,该系统已在作者的艺术实践中用作音乐创作的工具。本文首先介绍了反馈和自组织音乐系统的研究领域。随后提出了两个系统:第一个是交叉调制正弦振荡器网络(通过频率调制),第二个是预录制声音样本的转换过程网络。
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引用次数: 0
Concatenative Sound Synthesis as a Technomorphic Model in Computer-Aided Composition 连接声音合成作为计算机辅助作曲的技术模型
Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19431
Júlio Guatimosim, J. Padovani, Carlos Guatimosim
The text presents a process aimed at computer-aided composition for percussion instruments based on Concatenative Sound Synthesis (CSS). After the introduction, we address the concept of ”technomorphism” and the influence of electroacoustic techniques in instrumental composition. The third section covers processes of instrumental sound synthesis and its development in the context of Computer-Aided Composition (CAC) and Computer-Aided Music Orchestration (CAMO). Then, we describe the general principles of Concatenative Sound Synthesis (CSS). The fifth section covers our adaptation of CSS as a technomorphic model for Computer-Aided Composition/Orchestration, employing a corpus of percussion sounds/instruments. In the final section, we discuss future developments and the mains characteristics of our implementation and strategy.
本文介绍了一种基于串联声音合成(CSS)的打击乐器计算机辅助作曲方法。在介绍之后,我们将讨论“技术形态”的概念以及电声技术在器乐创作中的影响。第三部分介绍了器乐声音合成的过程及其在计算机辅助作曲(CAC)和计算机辅助编曲(CAMO)背景下的发展。然后,我们描述了连接声音合成(CSS)的一般原理。第五部分介绍了我们对CSS的改编,将其作为计算机辅助作曲/编曲的技术模型,使用打击声音/乐器的语料库。在最后一节,我们将讨论未来的发展以及我们的实施和战略的主要特点。
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引用次数: 0
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Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)
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