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Towards minimal test collections for evaluation of audio music similarity and retrieval

Julián Urbano, Markus Schedl
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
In this paper we show a first approach towards its application to the evaluation of the Audio Music Similarity and Retrieval task, run by the annual MIREX evaluation campaign.  ...  Making these annotations is quite complex and tedious for many Music Information Retrieval tasks, so performing such evaluations requires too much effort.  ...  CONCLUSIONS We have shown how to adapt the Minimal Test Collections (MTC) family of algorithms for the evaluation of the Audio Music Similarity and Retrieval task.  ... 
doi:10.1145/2187980.2188223 dblp:conf/www/UrbanoS12 fatcat:egqfzrvt3ncljbsj7ym2mwc26i


Adriana María Suárez Iguarán, Julián Urbano, Emilia Gómez
2020 Zenodo  
This thesis work conduits research toward the estimation of relevance judgments for the task of Audio Music Similarity in the context of MIREX.  ...  It is intended to improve and support the evaluation experiments run for this task from the point of view of efficiency, studying different regression models and methods with the aim of reducing the cost  ...  Urbano & Schedl, 2013) applied Minimal Test Collection (MTC) algorithms to the evaluation of the Audio Music Similarity task in MIREX, which reduced the annotation cost to less than 5%.  ... 
doi:10.5281/zenodo.3727056 fatcat:und4f7vaajaj5nyuqyleci2ad4

Fast intra-collection audio matching

Verena Thomas, Sebastian Ewert, Michael Clausen
2012 Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies - MIRUM '12  
The general goal of audio matching is to identify all audio extracts of a music collection that are similar to a given query snippet.  ...  This allows us to split the audio collection into equal sized overlapping segments and to precompute their retrieval results using dynamic time warping (DTW).  ...  Afterwards, we examine the quality of the reported matches. Datasets For the presented evaluations, we prepared two collections featuring audio recordings of Western classical music.  ... 
doi:10.1145/2390848.2390850 dblp:conf/mm/ThomasEC12 fatcat:uacy2stq4fd6danzquajqlvbhi

The neglected user in music information retrieval research

Markus Schedl, Arthur Flexer, Julián Urbano
2013 Journal of Intelligent Information Systems  
Even though preliminary steps towards such systems have recently been presented at the "International Society for Music Information Retrieval Conference" (ISMIR) and at similar venues, this vision is still  ...  situation and for each of her information or entertainment needs.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s10844-013-0247-6 fatcat:ww3j3ccngbgxfgup67cabrkxai

"Reinventing the Wheel": A Novel Approach to Music Player Interfaces

T. Pohle, P. Knees, M. Schedl, E. Pampalk, G. Widmer
2007 IEEE transactions on multimedia  
For evaluating the quality of the generated playlists, we apply a number of quality measures to two real-world music collections.  ...  the average distance between consecutive pieces of music is minimal according to the similarity measure.  ...  For evaluation, we used two audio collections with different characteristics.  ... 
doi:10.1109/tmm.2006.887991 fatcat:nntujkfiirhltavsltmavxj7ia

Audio Tag Annotation and Retrieval Using Tag Count Information [chapter]

Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang
2011 Lecture Notes in Computer Science  
The results of audio tag annotation and retrieval experiments show that the proposed approach outperforms our previous method, which won the MIREX 2009 audio tagging competition.  ...  Audio tags correspond to keywords that people use to describe different aspects of a music clip, such as the genre, mood, and instrumentation.  ...  Table 1 shows some examples of audio clips with associated tags obtained from the MajorMiner [6] website 4 , a web-based game for collecting music tags.  ... 
doi:10.1007/978-3-642-17832-0_32 fatcat:dt3nhih6qfh4bawqcyvo32qtaq

Measuring Structural Similarity in Music

Juan P. Bello
2011 IEEE Transactions on Audio, Speech, and Language Processing  
Index Terms-Audio signal processing, computer audition, music information retrieval (MIR), music structure analysis, sound similarity.  ...  This paper presents a novel method for measuring the structural similarity between music recordings.  ...  For the first test we assess the accuracy of training set retrieval on a collection including progressively larger sections of the test set as noise.  ... 
doi:10.1109/tasl.2011.2108287 fatcat:dltbsl2vpbfu7e26gwurcta37q

The Problem of Limited Inter-rater Agreement in Modelling Music Similarity

Arthur Flexer, Thomas Grill
2016 Journal of New Music Research  
One of the central tasks in the annual MIREX evaluation campaign is the "Audio Music Similarity and Retrieval (AMS)" task.  ...  Based on this sobering result we discuss ways to improve future evaluations of audio music similarity. 15th International Society for Music Information Retrieval Conference (ISMIR 2014)  ...  ACKNOWLEDGEMENTS We would like to thank all the spiffy people who have made the MIREX evaluation campaign possible over the last ten years, including of course J.  ... 
doi:10.1080/09298215.2016.1200631 pmid:28190932 pmcid:PMC5256035 fatcat:h6s6h3hikjayhpzkcnsaxfvnoq

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer
2018 Transactions of the International Society for Music Information Retrieval  
All retrieval models are trained and evaluated on a new, large scale multimodal audio-sheet music dataset which is made publicly available along with this article.  ...  The dataset comprises 479 precisely annotated solo piano pieces by 53 composers, for a total of 1,129 pages of music and about 15 hours of aligned audio, which was synthesized from these scores.  ...  P103/12/G084 and Charles University Grant Agency grant no. 1444217.  ... 
doi:10.5334/timsir.12 fatcat:6ke27ryhkvhdhas6e6zoto2vni

Searching Page-Images of Early Music Scanned with OMR: A Scalable Solution Using Minimal Absent Words

Tim Crawford, Golnaz Badkobeh, David Lewis
2018 Zenodo  
We define three retrieval tasks requiring efficient search of the musical content of a collection of ~32k pageimages of 16th-century music to find: duplicates; pages with the same musical content; pages  ...  Approximate matching is done by counting the number of common words between a query page and those in the collection. The two word-types are (a) normal ngrams and (b) minimal absent words (MAWs).  ...  In our experiments with our test dataset, retrieval performance for the dupl task was found to be similar for 20.  ... 
doi:10.5281/zenodo.1492391 fatcat:f6z6xurlj5aetgj6buwoqetqsa

Efficient Index-Based Audio Matching

Frank Kurth, Meinard Muller
2008 IEEE Transactions on Audio, Speech, and Language Processing  
Particular fields of interest are music information retrieval, fast content-based retrieval, and bioacoustical pattern matching.  ...  His research interests include audio signal processing, fast algorithms, multimedia information retrieval, and digital libraries for multimedia documents.  ...  Clausen for his support, C. Fremerey for his work on the SyncPlayer system, and the anonymous referees for constructive and valuable comments.  ... 
doi:10.1109/tasl.2007.911552 fatcat:dkcnw4sd3zbavgvdrxnss57jbi

Music Information Retrieval: Recent Developments and Applications

Markus Schedl, Emilia Gómez, Julián Urbano
2014 Foundations and Trends in Information Retrieval  
We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative  ...  Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems  ...  grant agreement no. 601166, the A4U postdoctoral grants programme, and the Junta of Andalusia through the COFLA2 project (P12-TIC-1362).  ... 
doi:10.1561/1500000042 fatcat:c5tjdcy3xrfqvp6isnktbr6lpy

Improving access to digital music through content‐based analysis

Juan Pablo Bello, Kent Underwood, Editor
2012 OCLC Systems & Services  
Examples of technologies developed in the context of the project include novel methods for automatic chord identification, motif finding, the visualization of musical structure, and retrieval of musical  ...  Purpose -The purpose of this paper is to report recent advances on a collaborative project that aims to develop content-based methods for music information retrieval (MIR) as an alternative to standard  ...  This project is made possible by grant LG-06-08-0073-08 from the US Institute of Museum and Library Services.  ... 
doi:10.1108/10650751211197040 fatcat:gw2ri7nrk5ek7gjentk5qqmcbu

Content-Based Music Information Retrieval: Current Directions and Future Challenges

M.A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, M. Slaney
2008 Proceedings of the IEEE  
Some of the music collections available are approaching the scale of ten million tracks and this has posed a major challenge for searching, retrieving, and organizing music content.  ...  This paper outlines the problems of content-based music information retrieval and explores the state-of-the-art methods using audio cues (e.g., query by humming, audio fingerprinting, content-based music  ...  AUDIO SIMILARITY-BASED RETRIEVAL The results of the systems described in Sections II and III have been applied to the wide spectrum of tasks collectively called audio similarity-based retrieval.  ... 
doi:10.1109/jproc.2008.916370 fatcat:ynpw7lyf6fchfdzzl5jll22cee

Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond [chapter]

Joan Serrà, Emilia Gómez, Perfecto Herrera
2010 Studies in Computational Intelligence  
Acknowledgments The authors want to thank their colleagues and staff at the Music Technology Group (UPF) for their support and work.  ...  This research has been partially funded by the EU-IP project PHAROS 20 (IST-2006-045035) and the e-Content Plus project VARI-AZIONI 21 (ECP-2005-CULT-038264).  ...  Furthermore, quantifying music similarity is key to searching, retrieving, and organizing music collections.  ... 
doi:10.1007/978-3-642-11674-2_14 fatcat:ou4l5a3rc5ehto74hbmcicxxni
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