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Audio Music Similarity And Retrieval: Evaluation Power And Stability

Julián Urbano, Diego Martín 0001, Mónica Marrero, Jorge Morato
2011 Zenodo  
INTRODUCTION One of the most important tasks in Music Information Retrieval is Audio Music Similarity and Retrieval (AMS).  ...  CONCLUSIONS AND FUTURE WORK We have analyzed the MIREX Audio Music Similarity and Retrieval task in terms of power and stability of the evaluations, studying four effectiveness measures (AG, NDCG, ANDCG  ... 
doi:10.5281/zenodo.1417268 fatcat:veb2db4dmnecle7bn2cy4f56a4

Novelty measures as cues for temporal salience in audio similarity

Mark B. Cartwright, Bryan Pardo
2012 Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies - MIRUM '12  
We then investigate whether we can use this information to improve two audio similarity measures: a "bag-of-frames" approach and a dynamic time warping approach.  ...  We believe that if we could estimate this information, we could improve audio similarity measures.  ...  We are not the first researchers in the field of music information retrieval (MIR) to recognized that some segments of audio are more important than others.  ... 
doi:10.1145/2390848.2390862 dblp:conf/mm/CartwrightP12 fatcat:ze372lmignb6hhamk5vbha2o24

Time–frequency scattering accurately models auditory similarities between instrumental playing techniques

Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2021 EURASIP Journal on Audio, Speech, and Music Processing  
However, most existing approaches to music similarity retrieval fail to describe timbre beyond the so-called "ordinary" technique, use instrument identity as a proxy for timbre quality, and do not allow  ...  AbstractInstrumentalplaying techniques such as vibratos, glissandos, and trills often denote musical expressivity, both in classical and folk contexts.  ...  We also wish to thank the students of the Paris Conservatory and all anonymous participants to our study.  ... 
doi:10.1186/s13636-020-00187-z pmid:33488686 pmcid:PMC7801324 fatcat:5tmi3yteuffvjcfon5gedecefe

Music Retrieval [chapter]

Cornelia Caragea, Vasant Honavar, Peter Boncz, Peter Boncz, Per-Åke Larson, Suzanne W. Dietrich, Gonzalo Navarro, Bhavani Thuraisingham, Yan Luo, Ouri Wolfson, Steven M. Beitzel, Eric C. Jensen (+89 others)
2009 Encyclopedia of Database Systems  
such as the Orkest van Utrecht and the Nederlands Sinfonietta, and playing chamber music with Henk, Andries, and Lucie.  ...  Last but definitely not least, the support of my dear wife Agatha and her and my parents Zbigniew, Krystyna, Gudrun, and Juergen has been vital for successfully completing this thesis.  ...  Real-time alignment of a music signal (audio or MIDI) to a music score. • Retrieval: 1.2 Topics of this thesis 3 -Audio Music Similarity and Retrieval.  ... 
doi:10.1007/978-0-387-39940-9_3133 fatcat:hn45xa2l2jgqdazfvnvlv5n73a

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  ...  We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation  ...  The authors would further like to thank Masataka Goto, Mohamed Sordo, and Edith Law for granting permission to include their visual material in this survey, and Juan J.  ... 
doi:10.1561/1500000042 fatcat:c5tjdcy3xrfqvp6isnktbr6lpy

Cognition-Inspired Descriptors For Scalable Cover Song Retrieval

Jan Van Balen, Dimitrios Bountouridis, Frans Wiering, Remco C. Veltkamp
2014 Zenodo  
audio data into findings about music itself seem hard to find.  ...  Figure 2 shows how stability changes with 15th International Society for Music Information Retrieval Conference (ISMIR 2014) position.  ... 
doi:10.5281/zenodo.1417794 fatcat:66ty7oeizrb7zg5figltmhqag4

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  ...  The community has enormously gained from these evaluation forums, but we have reached a point where we are stuck with evaluation frameworks that do not allow us to improve as much and as well as we want  ...  Music IR tasks 8 such as Audio Music Similarity or Query by Humming clearly fit into this classic retrieval setting.  ... 
doi:10.1007/s10844-013-0249-4 fatcat:uslx5lxeyrge7b5utjv75yxk3q

Affective Music Information Retrieval [article]

Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
2015 arXiv   pre-print
Much of the appeal of music lies in its power to convey emotions/moods and to evoke them in listeners.  ...  (personalized) emotion recognition and emotion-based music retrieval.  ...  Evaluation for Emotion-based Music Retrieval Evaluation Setup The AMG1608 dataset is again adopted in this music retrieval evaluation.  ... 
arXiv:1502.05131v1 fatcat:tytady6zsrdavb2hf5gxmt4kni

Content-based multimedia information retrieval

Michael S. Lew, Nicu Sebe, Chabane Djeraba, Ramesh Jain
2006 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
The thesis investigates ways to retrieve and present content for users with the help of contextual knowledge.  ...  The large amounts of digital media becoming available require that new approaches are developed for retrieving, navigating and recommending the data to users in a way that reflects how we semantically  ...  Broadcast news retrieval evaluation In the following section we evaluate the use of NMF for topic detection and document retrieval.  ... 
doi:10.1145/1126004.1126005 fatcat:wrzcdfn72rgzlh2ymbzqgvrfr4

Music information retrieval

J. Stephen Downie
2005 Annual Review of Information Science and Technology  
Welcome friends and colleagues to the 2 nd Annual International Symposium on Music Information Retrieval -ISMIR 2001.  ...  The presentations by our four invited speakers, Roger Dannenberg, Jef Raskin, Youngmoo Kim, and Adam Lindsay provide added depth and breadth to an already dynamic and diverse program.  ...  I would also like to acknowledge the NSF/JISC IDLI and JISC DNER programmes which are funding the OMRAS and JAFER projects upon which this work is based.  ... 
doi:10.1002/aris.1440370108 fatcat:5v36lrlqbjfi5fkuxw3mzjyhhe

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  
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  ...  retrieval) and other cues (e.g., music notation and symbolic representation), and identifies some of the major challenges for the coming years.  ...  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

Drum Samples Retrieval By High-Level Descriptors

Javier Arredondo Garrido
2017 Zenodo  
Systems that manage audio databases for sound description and retrieval could be really useful within a context of music production.  ...  Combining these models with an annotation of our datasets with specific values of audio high-level descriptors (Brightness, Hardness, Roughness and Depth), a drum samples retrieval tool could be created  ...  SIMAC's main task was the development and usage of semantic descriptors for exploration, recommendation and retrieval purposes, by tagging audio and music with meaningful descriptors.  ... 
doi:10.5281/zenodo.1112352 fatcat:lwpwvycdobhm5j6ql4h5od64qi

A Probabilistic Ranking Model for Audio Stream Retrieval

YoungHoon Jung, Jaehwan Koo, Karl Stratos, Luca P. Carloni
2016 Proceedings of the 1st International Workshop on Multimedia Analysis and Retrieval for Multimodal Interaction - MARMI '16  
In Audio Stream Retrieval (ASR) systems, clients periodically query an audio database with an audio segment taken from the input audio stream to keep track of the flow of the stream in the original content  ...  In order to train and test the model, we create a new set of audio streams and make it publicly available.  ...  One of the most widely used applications of audio segment retrieval is music identification [1, 7, 14] , which takes a segment of music to search the information on the original music from the database  ... 
doi:10.1145/2927006.2927013 dblp:conf/mir/JungKSC16 fatcat:glqc26lolzcr7jnn6wwjwhuyra

Efficient Retrieval of Music Recordings Using Graph-Based Index Structures

Frank Zalkow, Julian Brandner, Meinard Müller
2021 Signals  
In a particular content-based music retrieval scenario, the user provides a query audio snippet, and the retrieval system returns music recordings from the collection that are similar to the query.  ...  In particular, we report on systematic experiments comparing graph- and tree-based index structures in terms of the retrieval quality, disk space requirements, and runtimes.  ...  Furthermore, we thank Angel Villar Corrales, who worked on the internal web tool for version retrieval using the Carus audio catalog.  ... 
doi:10.3390/signals2020021 fatcat:czyphkhdc5flde7ed3hgfgkeru

A Compositional Hierarchical Model For Music Information Retrieval

Matevz Pesek, Ales Leonardis, Matija Marolt
2014 Zenodo  
It is constructed layer-by-layer, similar 15th International Society for Music Information Retrieval Conference (ISMIR 2014) to other deep architectures.  ...  To present the model's usefulness, we built a three-layer 15th International Society for Music Information Retrieval Conference (ISMIR 2014) model and evaluated it on two tasks: automated chord estimation  ... 
doi:10.5281/zenodo.1416084 fatcat:tlmj3fhwb5eqjpeapzw7ro6t4i
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