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

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Mapping, Triggering, Scoring, and Procedural Paradigms of Machine Listening Application in Live-Electronics Compositions 绘图，触发，评分，和程序范例的机器听力应用在现场电子作品
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19445
Vinicius César De Oliveira, J. Padovani
{"title":"Mapping, Triggering, Scoring, and Procedural Paradigms of Machine Listening Application in Live-Electronics Compositions","authors":"Vinicius César De Oliveira, J. Padovani","doi":"10.5753/sbcm.2021.19445","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19445","url":null,"abstract":"Since the advent of real-time computer music environments, composers have increasingly incorporated DSP analysis, synthesis, and processing algorithms in their creative practices. Those processes became part of interactive systems that use real-time computational tools in musical compositions that explore diverse techniques to generate, spatialize, and process instrumental/vocal sounds. Parallel to the development of these tools and the expansion of DSP methods, new techniques focused on sound/musical information extraction became part of the tools available for music composition. In this context, this article discusses the creative use of Machine Listening and Musical Information Retrieval techniques applied in the composition of live-electronics works. By pointing out some practical applications and creative approaches, we aim to circumscribe, in a general way, the strategies for employing Machine Listening and Music Information Retrieval techniques observed in a set of live-electronics pieces, categorizing four compositional approaches: namely, mapping, triggering, scoring, and procedural paradigms of application of machine listening techniques in the context of live-electronics music compositions.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125273822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards Real-time Score Analysis in PWGL 面向PWGL的实时分数分析
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19424
Mika Kuuskankare
{"title":"Towards Real-time Score Analysis in PWGL","authors":"Mika Kuuskankare","doi":"10.5753/sbcm.2021.19424","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19424","url":null,"abstract":"In this paper, we introduce an original approach to computerized music analysis within the graphical computer-assisted composition environment called PWGL. Our aim is to facilitate the realtime analysis of interactive scores written in common Western music notation. To this end, we have developed a novel library that allows us to analyze scores realized with the help of ENP (the graphical music notation module of PWGL), and to visualize the results of the analysis in realtime. ENP is extended to support the display of supplementary information that can be drawn on top of the score as an overlay. The analysis backend is realized with the help of our builtin musical scripting language based on pattern matching. The analysis results are presented directly as a part of the original score leveraging the extensible and interactive visualization capabilities of ENP. In this paper we describe the current state of the library and present, as a case study, a fully functional application allowing for the realtime analysis and display of voice leading errors according to the counterpoint rules developed mainly in the Renaissance and Baroque eras.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125517091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A prospective report on the research developed at the Laboratory of Audio and Music Technology at USP 一份关于USP音频和音乐技术实验室研究的前瞻性报告
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19461
Regis Faria, Ricardo Thomasi, João Monnazzi, Eduardo Bonachela, André Giolito, Gabriel Lemos
{"title":"A prospective report on the research developed at the Laboratory of Audio and Music Technology at USP","authors":"Regis Faria, Ricardo Thomasi, João Monnazzi, Eduardo Bonachela, André Giolito, Gabriel Lemos","doi":"10.5753/sbcm.2021.19461","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19461","url":null,"abstract":"This paper presents a concise report on the research developed at the Laboratory of Audio and Music Technology at the EACH-USP. The laboratory was founded in 2011 targeting the areas of music technology, musical acoustics and bioacoustics, strengthening its scope in 2019 to the areas of sound and music computing and audio engineering. Six projects are presented herein, describing their application areas, goals, achievements and perspectives.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131974637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Roughness Model Implementation to Analyze Sound Mass Composition: A Case Study in Ligeti’s Continuum for Harpsichord (1968) 用粗糙模型分析音质组成:以利格蒂拨弦键琴连续谱为例(1968)
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19430
Micael Antunes, Guilherme Feulo do Espírito Santo, J. Manzolli
{"title":"A Roughness Model Implementation to Analyze Sound Mass Composition: A Case Study in Ligeti’s Continuum for Harpsichord (1968)","authors":"Micael Antunes, Guilherme Feulo do Espírito Santo, J. Manzolli","doi":"10.5753/sbcm.2021.19430","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19430","url":null,"abstract":"We present in this paper an implementation of a roughness descriptor based on the model of Pantelis Vassilakis. We apply the implemented descriptor to perform a computer-aided musical analysis of György Ligeti’s Continuum for harpsichord (1968). Our analysis establishes a parallel between the roughness model, concepts of sound mass composition, and Ligeti’s ideas of timbre of movement and permeability. As a result, we display a graphical representation for the roughness present in the Continuum’s recording, propose a formal segmentation for the piece, and analyze its formal development from a musicological point of view.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129487844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COUT-e e práticas itinerantes durante 2020 e 2021 2020年和2021年的成本和旅行实践
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19464
Douglas Silva, Lucas Zampar, Felipe Rodrigues, C. Gomes
{"title":"COUT-e e práticas itinerantes durante 2020 e 2021","authors":"Douglas Silva, Lucas Zampar, Felipe Rodrigues, C. Gomes","doi":"10.5753/sbcm.2021.19464","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19464","url":null,"abstract":"Este artigo apresenta ações em andamento e finalizadas pelo grupo itinerante de COmputacão mUsical e Tecnologias Emergentes (COUT-E) da Universidade Federal do Amapá (UNIFAP) durante o período de 2020 e 2021. Comenta-se sobre os projetos Handy Hear, CongAr, Acalma-te, classificação de ritmos populares da amazônia e sincronização rítmica entre fontes distintas em tempo real.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124569334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-time Qualification of Percussive Sounds Based on Correspondences Between Schaeffer’s Solfège and Low-level Audio Descriptors 基于Schaeffer solfge和Low-level音频描述符对应关系的敲击声实时定性
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19429
Sérgio Freire, J. Padovani, C. Campos
{"title":"Real-time Qualification of Percussive Sounds Based on Correspondences Between Schaeffer’s Solfège and Low-level Audio Descriptors","authors":"Sérgio Freire, J. Padovani, C. Campos","doi":"10.5753/sbcm.2021.19429","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19429","url":null,"abstract":"Pierre Schaeffers typomorphology (1966) proposes seven criteria of musical perception for the qualification of sound objects, which form the basis of his musical theory. This Solfège fits well into contexts where pitch is not the dominant dimension. Relying on similarities between the practice of reduced listening and the utilization of low-level audio descriptors, we present the first version of a real-time setup in which these descriptors are applied to qualify percussive sounds. The paper describes the tools and strategies used for addressing different criteria: envelope followers with different window sizes and filtering; detection of transients and amplitude modulations; extraction and counting of spectral components; estimation of intrinsic dissonance and spectral distribution; among others. The extracted data is subjected to simple statistical analysis, producing scalar values associated with each segmented object. Finally, we present a variety of examples.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the Fusion of Multiple Audio Representations for Music Genre Classification 音乐类型分类中多音频表示的融合研究
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19423
Diego Furtado Silva, Micael Valterlânio da Silva, Ricardo Szram Filho, A. Silva
{"title":"On the Fusion of Multiple Audio Representations for Music Genre Classification","authors":"Diego Furtado Silva, Micael Valterlânio da Silva, Ricardo Szram Filho, A. Silva","doi":"10.5753/sbcm.2021.19423","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19423","url":null,"abstract":"Music classification is one of the most studied tasks in music information retrieval. Notably, one of the targets with high interest in this task is the music genre. In this scenario, the use of deep neural networks has led to the current state-of-the-art results. Research endeavors in this knowledge domain focus on a single feature to represent the audio in the input for the classification model. Due to this task’s nature, researchers usually rely on time-frequency-based features, especially those designed to make timbre more explicit. However, the audio processing literature presents many strategies to build representations that reveal diverse characteristics of music, such as key and tempo, which may contribute with relevant information for the classification of genres. We showed an exploratory study on different neural network model fusion techniques for music genre classification with multiple features as input. Our results demonstrate that Multi-Feature Fusion Networks consistently improve the classification accuracy for suitable choices of input representations.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modelo automático de classificação de gêneros musicais amazônicos 亚马逊音乐类型的自动分类模型
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19453
D. Silva, Lucas Zampar, F. Rodrigues, C. Gomes
{"title":"Modelo automático de classificação de gêneros musicais amazônicos","authors":"D. Silva, Lucas Zampar, F. Rodrigues, C. Gomes","doi":"10.5753/sbcm.2021.19453","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19453","url":null,"abstract":"A globalização afeta a preferência musical da sociedade atual, que apresenta continua estima por ou gêneros musicais internacionais em detrimento aos nacionais ou locais. A música é dos meios de comunicação utilizados para a construção e organização da estrutura social influenciando o estilo de vida, gostos e convivência interpessoal. Portanto, cada manifestação de gênero musical apresenta função distinta para um ouvinte, como por exemplo, para dançar, festejar, descançar, ajudar na solidão, na tristeza etc. Diversos aplicativos como spotify e soundcloud, utilizam-se de classificadores de gêneros musicais para indicar, prever ou sugerir novas músicas para seus ouvintes. Por diversos motivos, a maioria dos classificadores não possui informações de gêneros musicais regionais. Este trabalho propõem um modelo de classificação automático de gêneros musicais populares amazônicos. Inicialmente, confeccionou-se uma base de dados contendo os gêneros musicais: andino, brega, carimbó, cúmbia, marabaixo, pasillo, salsa e vaqueirada, oriundos da região da Amazônia Legal dos países: Brasil, Guiana Francesa, Venezuela, Colômbia, Equador, Bolívia e Peru. Para a construção da base de dados, extraiu-se diversas características de cada música ao total de 64 parâmetros. Analisou-se os modelos de aprendizado de máquina na qual XGB, KNN, SVM e MLP obtiveram acurácia de 67.62%, 74.12%, 71.35%, 76.13%, respectivamente.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Alice no país da pandemia (2021) 爱丽丝在大流行的国度(2021年)
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19462
F. Schiavoni, Ana Clara Montenegro Fonseca, Avner Maximiliano de Paulo, Carlos Edmundo Oliveira Souza, Cleisson Dener da Silva, Emerson Junio Silva Costa, Fábio dos Passos Carvalho, Gabriel Lopes Rocha, Gabriel Rodrigues Chaves Carneiro, Igino de Oliveira Silva Júnior, Igor Alves Estevam Andrade, Isadora Franco Oliveira, João Marcos Rodrigues Andrade Lara, João Teixeira Araújo, João Pedro Nunes Pereira de Oliveira, Jônatas Araújo da Silva, Luan Luiz Gonçalves, L. E. Santos, Luiz Gustavo Balzanelli Sousa, Mariana Pereira Lellis, Matheus de Bonfim Rodrigues Jordão, R. Andrade, Rebeca Lima Soares, Rômulo Augusto Vieira Costa, Samuel Rodrigues Rabay
{"title":"Alice no país da pandemia (2021)","authors":"F. Schiavoni, Ana Clara Montenegro Fonseca, Avner Maximiliano de Paulo, Carlos Edmundo Oliveira Souza, Cleisson Dener da Silva, Emerson Junio Silva Costa, Fábio dos Passos Carvalho, Gabriel Lopes Rocha, Gabriel Rodrigues Chaves Carneiro, Igino de Oliveira Silva Júnior, Igor Alves Estevam Andrade, Isadora Franco Oliveira, João Marcos Rodrigues Andrade Lara, João Teixeira Araújo, João Pedro Nunes Pereira de Oliveira, Jônatas Araújo da Silva, Luan Luiz Gonçalves, L. E. Santos, Luiz Gustavo Balzanelli Sousa, Mariana Pereira Lellis, Matheus de Bonfim Rodrigues Jordão, R. Andrade, Rebeca Lima Soares, Rômulo Augusto Vieira Costa, Samuel Rodrigues Rabay","doi":"10.5753/sbcm.2021.19462","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19462","url":null,"abstract":"O ALICE - Arts Lab in Interfaces, Computers, and Everything Else é um laboratório de pesquisa do Departamento de Computação da Federal University of São João del-Rei. Acolhendo pesquisadores de várias áreas, o ALICE tem desenvolvido pesquisas nas áreas de processos criativos amparados pela tecnologia, música em rede, paisagens sonoras, orquestras de dispositivos e outras áreas em que é possível aliar arte e tecnologia sem que uma destas áreas se coloque acima da outra. Neste artigo, apresentamos nossos desenvolvimentos recentes e lamentos atuais em um ano em que a distância de nossos corpos tenta ser superada pela onipresença das redes de computadores.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128750913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applications of FFT for timbral characterization in woodwind instruments FFT在木管乐器音色表征中的应用
Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI: 10.5753/sbcm.2021.19428
Yubiry Gonzalez, R. Prati
{"title":"Applications of FFT for timbral characterization in woodwind instruments","authors":"Yubiry Gonzalez, R. Prati","doi":"10.5753/sbcm.2021.19428","DOIUrl":"https://doi.org/10.5753/sbcm.2021.19428","url":null,"abstract":"The conceptualization of the musical timbre, which allows its quantitative evaluation in an audio record, is still an open-ended issue. This paper presents a set of dimensionless descriptors to assess the musical timbre of woodwind instruments in recordings of the fourth octave of the tempered musical scale. These descriptors are calculated from the Fast Fourier Transform (FFT) spectra using the Python Programming Language, specifically the SciPy library. The characteristic spectral signature of the clarinet, bassoon, transverse flute, and oboe are obtained in the fourth musical octave, observing the presence of degeneration for some musical sounds, that is, two given different aerophones may present the same harmonics. It is concluded that the proposed descriptors are sufficient to differentiate the aerophones studied, allowing their recognition, even in the case that there present the same set of harmonic frequencies.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125061546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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