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Unifying Low-Level and High-Level Music Similarity Measures

D. Bogdanov, J. Serra, N. Wack, P. Herrera, X. Serra
2011 IEEE transactions on multimedia  
Second, a high-level semantic measure based on the inference of different musical dimensions by support vector machines.  ...  Measuring music similarity is essential for multimedia retrieval.  ...  similarity triplets, over pairwise low-level and semantic distances.  ... 
doi:10.1109/tmm.2011.2125784 fatcat:4yffzln4nfhg3oicodcuoqnw7y

Cross-Media Retrieval via Semantic Entity Projection [chapter]

Lei Huang, Yuxin Peng
2016 Lecture Notes in Computer Science  
Firstly, an entity level with fine-grained semantics between low-level features and high-level concepts are constructed, so as to help bridge the semantic gap to a certain extent.  ...  However, this unified feature space usually has no explicit semantic meanings, which might ignore the hints contained in the original media content, and thus is not able to fully measure the similarities  ...  This approach directly learns the correlation projection from low-level features to high-level concepts, and then measures the similarities of multimedia objects.  ... 
doi:10.1007/978-3-319-27671-7_23 fatcat:zhy4dmfgarho5oe2pwfahmvudu

Timbre Classification Of A Single Musical Instrument

Maurício A. Loureiro, Hugo Bastos De Paula, Hani C. Yehia
2004 Zenodo  
ACKNOWLEDGMENTS This work was supported in part by CAPES (Brazilian Higher Education Funding Agency), and by CNPq (Brazilian National Council for Scientific and Technological Development).  ...  Toiviainen [13] compared the efficiency of musical timbre representations in spaces built by topological distances calculated by SOM to subjective measurements of similarity, proving a high correlation  ...  Unlike timbre, intensity and pitch time-varying levels can be classified according to soft/loud and low/high one-dimensional scales and are, hence, capable of being quantitatively expressed by the traditional  ... 
doi:10.5281/zenodo.1416319 fatcat:tcnptunvwjaobbdfh2kn2ulpsi

Music recommendation by unified hypergraph

Jiajun Bu, Shulong Tan, Chun Chen, Can Wang, Hao Wu, Lijun Zhang, Xiaofei He
2010 Proceedings of the international conference on Multimedia - MM '10  
Due to the semantic gap between low level acoustic features and high level music concepts, many researchers have explored collaborative filtering techniques in music recommender systems.  ...  a unified framework taking into account all objects and relations.  ...  Acknowledgments This work was supported by China National Key Technology R&D Program (2008BAH26B00, 2007BAH11B06) and National Natural Science Foundation of China (60875044, 90920303).  ... 
doi:10.1145/1873951.1874005 dblp:conf/mm/BuTCWWZH10 fatcat:nu2izq3btjghdf7efqjvyigqce

High-Level Musical Content-Based Music Information Retrieval: A State-of-the-Art Review

2020 International Journal of Scientific and Technological Research  
In this paper, we provide a task-centric perspective of this field with particular emphasis on high-level content analysis.  ...  Music Information Retrieval (MIR) is an interdisciplinary field that involves automating music processing for the purpose of accessing and managing large music collections.  ...  High-level features are abstractions of musical concepts inferred through lower-level feature measurements. For a list of common high-level features, see (Casey et al., 2008) .  ... 
doi:10.7176/jstr/6-10-08 fatcat:2me3npxcejb67jjyvshi7s73vu

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  
How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems.  ...  In this paper, we introduce a novel framework based on a multimodal and adaptive similarity measure for various applications.  ...  This is because music information can contain rich semantics and the related representations of low-level features are high-dimensional in nature.  ... 
doi:10.1145/1571941.1572011 dblp:conf/sigir/ZhangSXW09 fatcat:jdgl2nwjbjfj3nv46ldja6plry

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  
| The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services.  ...  Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web.  ...  Content Description of Polyphonic Music Sections II and III of this paper discussed the exaction of low-level and high-level music features.  ... 
doi:10.1109/jproc.2008.916370 fatcat:ynpw7lyf6fchfdzzl5jll22cee

Multimodal Content Representation and Similarity Ranking of Movies [article]

Konstantinos Bougiatiotis, Theodore Giannakopoulos
2017 arXiv   pre-print
In this paper we examine the existence of correlation between movie similarity and low level features from respective movie content.  ...  We assert movie similarities, as propagated by the singular modalities and fusion models, in the form of recommendation rankings.  ...  We are striving to find correlations between low level content similarity from different movie information modules and high level association of those movies.  ... 
arXiv:1702.04815v2 fatcat:fwhcj6af3fb5veabr672uzb7lq

Evaluating Hierarchical Structure in Music Annotations

Brian McFee, Oriol Nieto, Morwaread M. Farbood, Juan Pablo Bello
2017 Frontiers in Psychology  
Second, this ambiguity seems to depend on musical features, time scale, and genre.  ...  In the field of music informatics research (MIR), it is common to use corpora annotated with structural boundaries at different levels.  ...  We also thank Schloss Dagstuhl for hosting the Computational Music Structure Analysis seminar, which provided the motivation for much of the contents of this article.  ... 
doi:10.3389/fpsyg.2017.01337 pmid:28824514 pmcid:PMC5541043 fatcat:rp4kvm7jpfgubebtf7bsq26mhi

Extraction Of Drum Patterns And Their Description Within The Mpeg-7 High-Level-Framework

Matthias Gruhne, Christian Uhle, Christian Dittmar, Markus Cremer
2004 Zenodo  
The usage of high level semantic information relates to the human perception of music.  ...  The periodicity function is obtained by calculating a similarity measure between the signal and its time shifted version.  ... 
doi:10.5281/zenodo.1414888 fatcat:3nytoznumje6teefbg2o6qwebq

A comparative study of tonal acoustic features for a symbolic level music-to-score alignment

Cyril Joder, Slim Essid, Gael Richard
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We use a unified framework to handle different state-of-the-art features, and propose a simple way to exploit either a model of the feature values, or an audio synthesis of a musical score, in an audio-to-score  ...  In this paper we review the acoustic features used for music-to-score alignment and study their influence on the performance in a challenging alignment task, where the audio data is polyphonic and may  ...  Most works on audio-to-score alignment and score following use specific low-level features along with their own high-level system.  ... 
doi:10.1109/icassp.2010.5495784 dblp:conf/icassp/JoderER10 fatcat:bgb3p6vufzhvbgbyojom3p3idq

Some Major Theoretical Problems concerning the Concept of Hierarchy in the Analysis of Tonal Music

Eugene Narmour
1983 Music Perception  
Level-analysis in the field of music theory today is rarely hierarchical, at least in the strict sense of the term. Most current musical theories view levels systemically.  ...  In music analysis, it would seem possible provided closure and nonclosure are admitted as simultaneous properties potentially present at all hierarchical levels.  ...  between the high C (C2) of measure 3 low B in measure 4.  ... 
doi:10.2307/40285255 fatcat:icno62xvrfau5jfavfo5iunsgu

Audio Content-Based Music Retrieval

Peter Grosche, Meinard Müller, Joan Serrà, Marc Herbstritt
2012 Dagstuhl Publications  
Here, high specificity refers to a strict notion of similarity, whereas low specificity to a rather vague one.  ...  Furthermore, we introduce a second classification principle based on granularity, where one distinguishes between fragment-level and document-level retrieval.  ...  Acknowledgment We would like to express our gratitude to Christian Dittmar, Emilia Gómez, Frank Kurth, and Markus Schedl for their helpful and constructive feedback.  ... 
doi:10.4230/dfu.vol3.11041.157 dblp:conf/dagstuhl/GroscheMS12 fatcat:ig3p6d4ukrggpeod2altxt4iuy

Music to Make Your Mouth Water? Assessing the Potential Influence of Sour Music on Salivation

Qian J. Wang, Klemens Knoeferle, Charles Spence
2017 Frontiers in Psychology  
Salivation was measured while participants were exposed to three different experimental conditions -a sour soundtrack, a muted lemon video showing a man eating a lemon, and a silent baseline condition.  ...  People robustly associate various sound attributes with specific smells/tastes, and soundtracks that are associated with specific tastes can influence people's evaluation of the taste of food and drink  ...  Therefore, the correspondence between sourness and sound might be linked to their similar associations with high arousal states.  ... 
doi:10.3389/fpsyg.2017.00638 pmid:28491044 pmcid:PMC5405062 fatcat:56kcghr5bfh2hfrjguhkl64nyq

CompositeMap

Bingjun Zhang, Qiaoliang Xiang, Ye Wang, Jialie Shen
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems in music information retrieval.  ...  Experimental results based on two large music collections reveal various advantages in effectiveness, efficiency, adaptiveness, and scalability of the proposed music similarity measure and the music search  ...  Each aspect contains rich semantics and its existing digital representations (low-level features, highlevel concepts, etc.) are high-dimensional in nature.  ... 
doi:10.1145/1631272.1631474 dblp:conf/mm/ZhangXWS09 fatcat:m6sl5qh2yrhh3eeaw6u5l47mje
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