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Minimal test collections for low-cost evaluation of Audio Music Similarity and Retrieval systems

Julián Urbano, Markus Schedl
2013 International Journal of Multimedia Information Retrieval  
In this paper we show the application of Minimal Test Collections to the evaluation of the Audio Music Similarity and Retrieval task, run by the annual MIREX evaluation campaign.  ...  A low-cost alternative is the application of Minimal Test Collections algorithms, which offer very reliable results while significantly reducing the required annotation effort.  ...  Conclusions We have shown how to adapt the Minimal Test Collections (MTC) family of algorithms for the evaluation of the MIREX Audio Music Similarity and Retrieval task.  ... 
doi:10.1007/s13735-012-0030-4 fatcat:j7jstserdbcxxkpenwmyh223tq

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  
A low-cost alternative is the application of Minimal Test Collection algorithms, which offer quite reliable results while significantly reducing the annotation effort.  ...  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.  ...  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

REDUCING BIAS IN THE PROBABILISTIC EVALUATION OF AUDIO MUSIC SIMILARITY

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

Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval

Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin
2011 IEEE transactions on multimedia  
With the explosive growth of digital music available on the Web, automatic audio tagging, which can be used to annotate unknown music or retrieve desirable music, is becoming increasingly important.  ...  This can be achieved by training a binary classifier for each tag based on the labeled music data. Our method that won the MIREX 2009 audio tagging competition is one of this kind of methods.  ...  In the testing phase, the classifiers output scores for audio tag annotation and retrieval, respectively. II. SYSTEM OVERVIEW III.  ... 
doi:10.1109/tmm.2011.2129498 fatcat:oqhkkd755rbuhhe4zoq6b6n4cy

Nonlinear dimensionality reduction for efficient and effective audio similarity searching

Dimitris Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos
2009 Multimedia tools and applications  
The proposed method significantly reduces the computation time during the construction process compared to any audio measure and, simultaneously, minimizes the searching cost for similar songs.  ...  To the best of our knowledge, the important issue of audio similarity measures' scalability is addressed for the first time.  ...  Music Similarity and Retrieval.  ... 
doi:10.1007/s11042-009-0420-7 fatcat:eslou4v2wfe45eyzgchq43nqmi

CompositeMap

Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wang
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
As an effective technique for organizing, browsing, and searching large data collections, music information retrieval is attracting more and more attention.  ...  How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems.  ...  Efficiency of index construction and query processing For large MIR systems, economic maintenance cost is another important concern.  ... 
doi:10.1145/1571941.1572011 dblp:conf/sigir/ZhangSXW09 fatcat:jdgl2nwjbjfj3nv46ldja6plry

Toward efficient indexing structure for scalable content-based music retrieval

Jialie Shen, Mei Tao, Qiang Qu, Dacheng Tao, Yong Rui
2019 Multimedia Systems  
To evaluate the approach, a set of experimental studies has been carried out using two large music test collections and the results demonstrate various advantages of EMIF over state-of-the-art approaches  ...  With advancement of various information processing and storage techniques, the scale of digital music collections has been growing at very fast speed during recent decades.  ...  Scalability comparison Scalability is particularly important for large music databases, because such systems can potentially contain thousands of audio files for retrieval and the content of the data collections  ... 
doi:10.1007/s00530-019-00613-z fatcat:wctz35yq7rhejeihojyblajzpy

Challenging Uncertainty in Query by Humming Systems: A Fingerprinting Approach

Erdem Unal, Elaine Chew, Panayiotis G. Georgiou, Shrikanth S. Narayanan
2008 IEEE Transactions on Audio, Speech, and Language Processing  
A melody retrieval accuracy of 88% is demonstrated for humming samples from musically trained subjects, and 70% for samples from untrained subjects, for the FP algorithm.  ...  Our retrieval database is built on 1500 MIDI files and evaluated using 400 hummed samples from 80 people with different musical backgrounds.  ...  [12] created a test-bed for comparing the retrieval accuracy and computation time of different retrieval systems.  ... 
doi:10.1109/tasl.2007.912373 fatcat:ra6fefokarev7lfr2h2wisbxyi

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.  ...  In this context, audio-based analysis and retrieval can complement existing text-based systems, and help redefine how users search and interact with digital music content.  ... 
doi:10.1109/tasl.2011.2108287 fatcat:dltbsl2vpbfu7e26gwurcta37q

A Proximity Grid Optimization Method To Improve Audio Search For Sound Design

Christian Frisson, Stéphane Dupont, Willy Yvart, Nicolas Riche, Xavier Siebert, Thierry Dutoit
2014 Zenodo  
These may however share some similarities with systems targeted to the management of music collections, in particular in the content-based processing workflow that allows to organize the audio files.  ...  To our knowledge, no audio or music browser approached this solution. 15th International Society for Music Information Retrieval Conference (ISMIR 2014) Figure 1 .  ... 
doi:10.5281/zenodo.1417244 fatcat:ykha66ej25b5raznyqznowdsoy

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

Evaluation in Music Information Retrieval

Julián Urbano, Markus Schedl, Xavier Serra
2013 Journal of Intelligent Information Systems  
The field of Music Information Retrieval has always acknowledged the need for rigorous scientific evaluations, and several efforts have set out to develop and provide the infrastructure, technology and  ...  Based on a formalization of the evaluation process, this paper presents a survey of past evaluation work in the context of Text IR, from the point of view of validity, reliability and efficiency of the  ...  An example has already been proposed for Audio Music Similarity, reducing annotation cost to less than 5% (Urbano and Schedl, 2013) . Baselines.  ... 
doi:10.1007/s10844-013-0249-4 fatcat:uslx5lxeyrge7b5utjv75yxk3q

Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment [article]

Matthias Dorfer, Andreas Arzt, Gerhard Widmer
2017 arXiv   pre-print
a music audio as a search query; and aligning an audio recording of a piece with the corresponding images of sheet music.  ...  multi-modal neural networks to be a fruitful paradigm for dealing with sheet music and audio at the same time.  ...  ACKNOWLEDGEMENTS This work is supported by the Austrian Ministries BMVIT and BMWFW, and the Province of Upper Austria via the COMET Center SCCH, and by the European Research Council (ERC Grant Agreement  ... 
arXiv:1707.09887v1 fatcat:tnftmt3ff5g2zgkb4jlcv5ovcy

Learning Audio-Sheet Music Correspondences For Score Identification And Offline Alignment

Matthias Dorfer, Andreas Arzt, Gerhard Widmer
2017 Zenodo  
For example, we can first embed a reference collection of sheet music images using the image embedding part of the network, then embed a query audio and search for its nearest sheet music neighbours in  ...  The MR (low is better) is the median position of the target in a cosine-similarity-ordered list of available candidates.  ... 
doi:10.5281/zenodo.1417806 fatcat:ryjhfkdfxbdzddco34lhxv5hnu

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
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