2019 International Workshop on Multilayer Music Representation and Processing (MMRP)最新文献_第2页

Three-Dimensional Mapping of High-Level Music Features for Music Browsing 用于音乐浏览的高级音乐特征的三维映射

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/MMRP.2019.8665368

Stefano Cherubin, Clara Borrelli, M. Zanoni, Michele Buccoli, A. Sarti, S. Tubaro

引用次数: 3

Heretic: Modeling Anthony Braxton's Language Music 异端:模仿安东尼·布拉克斯顿的语言音乐

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/MMRP.2019.8665363

Hunter M. Brown, M. Casey

{"title":"Heretic: Modeling Anthony Braxton's Language Music","authors":"Hunter M. Brown, M. Casey","doi":"10.1109/MMRP.2019.8665363","DOIUrl":"https://doi.org/10.1109/MMRP.2019.8665363","url":null,"abstract":"This article presents a new system for real-time machine listening within human-machine free improvisation. Heretic uses Anthony Braxton's Language Music system as a grammatical model for contextualizing real-time audio feature data within free improvisation. Heretic hears, recognizes, and organizes unseen musical material from a human improviser into a fluid, coherent, and expressive musical language. Systems similar to Heretic often prioritize agnostic approaches to machine listening by avoiding prior musical knowledge in the system's training stage. However, prominent improvisers such as Cecil Taylor, Ornette Coleman, Joe Morris, and Anthony Braxton detail their approaches to improvisation as languages or grammatical systems. These improvisers contextualize the real-time musical materials of their band-mates by applying their formulated grammatical systems to their decision-making processes. Taylor, Coleman, Morris, and Braxton's autonomy and musical creativity are not compromised by using grammatical systems. In regards to human-machine improvisation, Heretic demonstrates that a grammatical approach to machine listening can yield idiosyncratic interactions, full machine autonomy, and novel musical output. This article details a re-imagining of Anthony Braxton's Language Music within the context of machine listening, and an implementation of Language Music within Heretic via SuperCollider's audio feature extraction functionality and Wekinator's multi-layer perceptron neural networks.","PeriodicalId":441469,"journal":{"name":"2019 International Workshop on Multilayer Music Representation and Processing (MMRP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173844","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: 2

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) MMRP 2019 2019多层音乐表示与处理(MMRP)国际研讨会

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/mmrp.2019.00004

引用次数: 0

Multilayer Music Representation and Processing: Key Advances and Emerging Trends 多层音乐表示和处理:关键进展和新兴趋势

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/MMRP.2019.8665370

F. Avanzini, L. A. Ludovico

引用次数: 1

Multitask Learning for Polyphonic Piano Transcription, a Case Study 钢琴复调转录的多任务学习:个案研究

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/MMRP.2019.8665372

Rainer Kelz, Sebastian Böck, G. Widmer

引用次数: 7

2019 International Workshop on Multilayer Music Representation and Processing MMRP 2019 2019多层音乐表示与处理国际研讨会

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/mmrp.2019.8665358

A. Baratè, L. A. Ludovico, S. Ntalampiras, G. Presti

引用次数: 1

Message from the General Chair MMRP 2019 2019年MMRP主席致辞

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/mmrp.2019.00005

Mmrp

引用次数: 0

Multimodal Music Information Processing and Retrieval: Survey and Future Challenges 多模态音乐信息处理与检索:调查与未来挑战

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2019-01-01 DOI: 10.1109/MMRP.2019.00012

Federico Simonetta, S. Ntalampiras, F. Avanzini

引用次数: 42

The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation 深层神经网络显式结构编码对符号音乐生成的影响

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 2018-11-20 DOI: 10.1109/MMRP.2019.00022

K. Chen, Weilin Zhang, S. Dubnov, Gus G. Xia, Wei Li

{"title":"The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation","authors":"K. Chen, Weilin Zhang, S. Dubnov, Gus G. Xia, Wei Li","doi":"10.1109/MMRP.2019.00022","DOIUrl":"https://doi.org/10.1109/MMRP.2019.00022","url":null,"abstract":"With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity. Despite very promising progress on image and short sequence generation, symbolic music generation remains a challenging problem since the structure of compositions are usually complicated. In this study, we attempt to solve the melody generation problem constrained by the given chord progression. In particular, we explore the effect of explicit architectural encoding of musical structure via comparing two sequential generative models: LSTM (a type of RNN) and WaveNet (dilated temporal-CNN). As far as we know, this is the first study of applying WaveNet to symbolic music generation, as well as the first systematic comparison between temporal-CNN and RNN for music generation. We conduct a survey for evaluation in our generations and implemented Variable Markov Oracle in music pattern discovery. Experimental results show that to encode structure more explicitly using a stack of dilated convolution layers improved the performance significantly, and a global encoding of underlying chord progression into the generation procedure gains even more.","PeriodicalId":441469,"journal":{"name":"2019 International Workshop on Multilayer Music Representation and Processing (MMRP)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128850254","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: 28

Automated Analysis of Postural and Movement Qualities of Violin Players 小提琴手姿势和动作素质的自动分析

2019 International Workshop on Multilayer Music Representation and Processing (MMRP) Pub Date : 1900-01-01 DOI: 10.1109/MMRP.2019.8665374

Erica Volta, G. Volpe

{"title":"Automated Analysis of Postural and Movement Qualities of Violin Players","authors":"Erica Volta, G. Volpe","doi":"10.1109/MMRP.2019.8665374","DOIUrl":"https://doi.org/10.1109/MMRP.2019.8665374","url":null,"abstract":"Learning to playa music instrument is a complex task, requiring continuous practice and the development of sophisticated motor control techniques. The traditional model of music learning is based on a master-apprentice relationship, leading often to a solitary learning process, in which the time spent with the teacher is usually limited to weekly lessons and a long period of self-study is needed. Moreover, a large amount of time passes from the teacher's feedback and the student's proprioceptive perception while studying, requiring a big effort in developing an efficient and healthy technique. In this paper, we present our recent developments concerning an assistive and adaptive technology to help violin students overcoming all these difficulties, and developing their technique and repertoire properly and sefely. In particular, we focus on the multimodal corpus of violin performances which was collected for the purpose, and on the analysis of such data to compute postural and gestural features characterizing the performance under a biomechanical perspective and in terms of movement quality. Analysis is expected to provide students with feedback for reaching a physically accurate performance, maximizing efficiency and minimizing injuries.","PeriodicalId":441469,"journal":{"name":"2019 International Workshop on Multilayer Music Representation and Processing (MMRP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470158","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: 5