Proceedings of the 3rd International workshop on Digital Libraries for Musicology最新文献

Representing and Linking Music Performance Data with Score Information 用乐谱信息表示和连接音乐表演数据

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970052

J. Devaney, Hubert Léveillé Gauvin

引用次数: 5

Mining metadata from the web for AcousticBrainz 为AcousticBrainz从网络上挖掘元数据

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970048

Alastair Porter, D. Bogdanov, Xavier Serra

{"title":"Mining metadata from the web for AcousticBrainz","authors":"Alastair Porter, D. Bogdanov, Xavier Serra","doi":"10.1145/2970044.2970048","DOIUrl":"https://doi.org/10.1145/2970044.2970048","url":null,"abstract":"Semantic annotations of music collections in digital libraries are important for organization and navigation of the collection. These annotations and their associated metadata are useful in many Music Information Retrieval tasks, and related fields in musicology. Music collections used in research are growing in size, and therefore it is useful to use semi-automatic means to obtain such annotations. We present software tools for mining metadata from the web for the purpose of annotating music collections. These tools expand on data present in the AcousticBrainz database, which contains software-generated analysis of music audio files. Using this tool we gather metadata and semantic information from a variety of sources including both community-based services such as MusicBrainz, Last.fm, and Discogs, and commercial databases including Itunes and AllMusic. The tool can be easily expanded to collect data from a new source, and is automatically updated when new items are added to AcousticBrainz. We extract genre annotations for recordings in AcousticBrainz using our tool and study the agreement between folksonomies and expert sources. We discuss the results and explore possibilities for future work.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122730185","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

In Collaboration with In Concert: Reflecting a Digital Library as Linked Data for Performance Ephemera 与In Concert合作:反映数字图书馆作为表演蜉蝣的关联数据

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970049

Terhi Nurmikko-Fuller, A. Dix, David M. Weigl, Kevin R. Page

{"title":"In Collaboration with In Concert: Reflecting a Digital Library as Linked Data for Performance Ephemera","authors":"Terhi Nurmikko-Fuller, A. Dix, David M. Weigl, Kevin R. Page","doi":"10.1145/2970044.2970049","DOIUrl":"https://doi.org/10.1145/2970044.2970049","url":null,"abstract":"Diverse datasets in the area of Digital Musicology expose complementary information describing works, composers, performers, and wider historical and cultural contexts. Interlinking across such datasets enables new digital methods of scholarly investigation. Such bridging presents challenges when working with legacy tabular or relational datasets that do not natively facilitate linking and referencing to and from external sources. Here, we present pragmatic approaches in turning such legacy datasets into linked data. InConcert is a research collaboration exemplifying these approaches. In this paper, we describe and build on this resource, which is comprised of distinct digital libraries focusing on performance data and on concert ephemera. These datasets were merged with each other and opened up for enrichment from other sources on the Web via conversion to RDF. We outline the main features of the constituent datasets, describe conversion workflows, and perform a comparative analysis. Our findings provide practical recommendations for future efforts focused on exposing legacy datasets as linked data.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127491637","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: 14

MORTY: A Toolbox for Mode Recognition and Tonic Identification 莫蒂:调式识别和音调识别工具箱

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970054

Altug Karakurt, Sertan Sentürk, Xavier Serra

{"title":"MORTY: A Toolbox for Mode Recognition and Tonic Identification","authors":"Altug Karakurt, Sertan Sentürk, Xavier Serra","doi":"10.1145/2970044.2970054","DOIUrl":"https://doi.org/10.1145/2970044.2970054","url":null,"abstract":"In the general sense, mode defines the melodic framework and tonic acts as the reference tuning pitch for the melody in the performances of many music cultures. The mode and tonic information of the audio recordings is essential for many music information retrieval tasks such as automatic transcription, tuning analysis and music similarity. In this paper we present MORTY, an open source toolbox for mode recognition and tonic identification. The toolbox implements generalized variants of two state-of-the-art methods based on pitch distribution analysis. The algorithms are designed in a generic manner such that they can be easily optimized according to the culture-specific aspects of the studied music tradition. We test the generalized methodology systematically on the largest mode recognition dataset curated for Ottoman-Turkish makam music so far, which is composed of 1000 recordings in 50 modes. We obtained 95.8%, 71.8% and 63.6% accuracy in tonic identification, mode recognition and joint mode and tonic estimation tasks, respectively. We additionally present recent experiments on Carnatic and Hindustani music in comparison with several methodologies recently proposed for raga/raag recognition. We prioritized the reproducibility of our work and provide all of our data, code and results publicly. Hence we hope that our toolbox would be used as a benchmark for future methodologies proposed for mode recognition and tonic identification, especially for music traditions in which these computational tasks have not been addressed yet.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122662381","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: 8

A standard format proposal for hierarchical analyses and representations 用于分层分析和表示的标准格式建议

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970046

D. Rizo, A. Marsden

引用次数: 4

Document Analysis for Music Scores via Machine Learning 基于机器学习的乐谱文档分析

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970047

Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga

引用次数: 10

Exploring J-DISC: Some Preliminary Analyses 探索J-DISC:一些初步分析

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970050

Yun Hao, Kahyun Choi, J. S. Downie

{"title":"Exploring J-DISC: Some Preliminary Analyses","authors":"Yun Hao, Kahyun Choi, J. S. Downie","doi":"10.1145/2970044.2970050","DOIUrl":"https://doi.org/10.1145/2970044.2970050","url":null,"abstract":"J-DISC, a specialized digital library for information about jazz recording sessions that includes rich structured and searchable metadata, has the potential for supporting a wide range of studies on jazz, especially the musicological work of those interested in the social network aspects of jazz creation and production. This paper provides an overview of the entire J-DISC dataset. It also presents some exemplar analyses across this dataset to better illustrate the kinds of uses that musicologists could make of this collection. Our illustrative analyses include both informetric and network analyses of the entire J-DISC data which comprises data on 2,711 unique recording sessions associated with 3,744 distinct artists including such influential jazz figures as Dizzy Gillespie, Don Byas, Charlie Parker, John Coltrane and Kenny Dorham, etc. Our analyses also show that around 60% of the recording sessions included in J-DISC were recorded in New York City, Englewood Cliffs (NJ), Los Angeles (CA) and Paris during the year of 1923 to 2011. Furthermore, our analyses of the J-DISC data show the top venues captured in the J-DISC data include Rudy Van Gelder Studio, Birdland and Reeves Sound Studios. The potential research uses of the J-DISC data in both the DL (Digital Libraries) and MIR (Music Information Retrieval) domains are also briefly discussed.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132601530","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: 3

Data Generation and Multi-Modal Analysis for Recorded Operatic Performance 记录歌剧表演的数据生成和多模态分析

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970045

Joshua Neumann

引用次数: 1

The Music Addressability API: A draft specification for addressing portions of music notation on the web 音乐可寻址API:一个用于在网络上寻址部分音乐符号的规范草案

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970056

Raffaele Viglianti

{"title":"The Music Addressability API: A draft specification for addressing portions of music notation on the web","authors":"Raffaele Viglianti","doi":"10.1145/2970044.2970056","DOIUrl":"https://doi.org/10.1145/2970044.2970056","url":null,"abstract":"This paper describes an Application Programming Interface (API) for addressing music notation on the web regardless of the format in which it is stored. This API was created as a method for addressing and extracting specific portions of music notation published in machine-readable formats on the web. Music notation, like text, can be \"addressed\" in new ways in a digital environment, allowing scholars to identify and name structures of various kinds, thus raising such questions as how can one virtually \"circle\" some music notation? How can a machine interpret this \"circling\" to select and retrieve the relevant music notation? The API was evaluated by: 1) creating an implementation of the API for documents in the Music Encoding Initiative (MEI) format; and by 2) remodelling a dataset of music analysis statements from the Du Chemin: Lost Voices project (Haverford College) by using the API to connect the analytical statements with the portion of notaiton they refer to. Building this corpus has demonstrated that the Music Addressability API is capable of modelling complex analytical statements containing references to music notation.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132317061","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

Approaches to handwritten conductor annotation extraction in musical scores 乐谱中手写指挥注释的提取方法

Proceedings of the 3rd International workshop on Digital Libraries for Musicology Pub Date : 2016-08-12 DOI: 10.1145/2970044.2970053

Eamonn Bell, L. Pugin

{"title":"Approaches to handwritten conductor annotation extraction in musical scores","authors":"Eamonn Bell, L. Pugin","doi":"10.1145/2970044.2970053","DOIUrl":"https://doi.org/10.1145/2970044.2970053","url":null,"abstract":"Conductor copies of musical scores are typically rich in handwritten annotations. Ongoing archival efforts to digitize orchestral conductors' scores have made scanned copies of hundreds of these annotated scores available in digital formats. The extraction of handwritten annotations from digitized printed documents is a difficult task for computer vision, with most approaches focusing on the extraction of handwritten text. However, conductors' annotation practices provide us with at least two affordances, which make the task more tractable in the musical domain. First, many conductors opt to mark their scores using colored pencils, which contrast with the black and white print of sheet music. Consequently, we show promising results when using color separation techniques alone to recover handwritten annotations from conductors' scores. We also compare annotated scores to unannotated copies and use a printed sheet music comparison tool to recover handwritten annotations as additions to the clean copy. We then investigate the use of both of these techniques in a combined method, which improves the results of the color separation technique. These techniques are demonstrated using a sample of orchestral scores annotated by professional conductors of the New York Philharmonic. Handwritten annotation extraction in musical scores has applications to the systematic investigation of score annotation practices by performers, annotator attribution, and to the interactive presentation of annotated scores, which we briefly discuss.","PeriodicalId":422109,"journal":{"name":"Proceedings of the 3rd International workshop on Digital Libraries for Musicology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114463480","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