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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).  ...  Evaluation The evaluation of cover song identification and similarity systems is a complex task, and it is difficult to find in the literature a common methodology for that.  ... 
doi:10.1007/978-3-642-11674-2_14 fatcat:ou4l5a3rc5ehto74hbmcicxxni

Sequential Complexity as a Descriptor for Musical Similarity

Peter Foster, Matthias Mauch, Simon Dixon
2014 IEEE/ACM Transactions on Audio Speech and Language Processing  
Combined with bag-of-features descriptors, we obtain performance gains of 31.1% and 10.9% for similarity rating prediction and song year prediction.  ...  To verify that our descriptors capture musically relevant information, we incorporate our descriptors into similarity rating prediction and song year prediction tasks.  ...  ACKNOWLEDGEMENTS This work benefited from advice and comments from Andrew J. R. Simpson, Dan Stowell, Anssi Klapuri, Mark D. Plumbley, and Armand Leroi.  ... 
doi:10.1109/taslp.2014.2357676 fatcat:yybmif6oajainh3btfz3ehraga

Ambient music experience in real and virtual worlds using audio similarity

Jakob Frank, Thomas Lidy, Ewald Peiszer, Ronald Genswaider, Andreas Rauber
2008 Proceeding of the 1st ACM international workshop on Semantic ambient media experiences - SAME '08  
Ways for music selection and consumption may range from completely passive, almost unnoticed perception of background sound environments to the very specific selection of a particular recording of a piece  ...  We show some common principles and point out further directions for a more direct coupling of the various spaces and interaction methods.  ...  Rather, a parameter-controlled share of songs is decoded and saved as WAV file as a background process.  ... 
doi:10.1145/1461912.1461915 dblp:conf/mm/FrankLPGR08 fatcat:yolruibkd5czvbxmtto3x5mf3y

Music self-similarity modeling using augmented nonnegative matrix factorization of block and stripe patterns

Joonas Kauppinen, Anssi Klapuri, Tuomas Virtanen
2013 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics  
Two main types of structures often appear in self-similarity matrices: rectangular blocks of high similarity and diagonal stripes off the main diagonal that represent recurrent sequences.  ...  Self-similarity matrices have been widely used to analyze the sectional form of music signals, e.g. enabling the detection of parts such as verse and chorus in popular music.  ...  The information on sectional form can then be utilized in other tasks such as music summarization, synchronization, and visualization, as well as cover song identification [1] .  ... 
doi:10.1109/waspaa.2013.6701855 dblp:conf/waspaa/KauppinenKV13 fatcat:3ax3tyru2jhjha2qh3ieb2ikmu

Features for comparing tune similarity of songs across different languages

Naveen Kumar, Andreas Tsiartas, Shrikanth Narayanan
2012 2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP)  
Finding tunes that are similar across languages and cultures offers new ways to study global musical influences and similarities.  ...  Alignment cost using the dynamic time warping algorithm was used a classification metric on a dataset of songs obtained from Youtube.  ...  Many of the problems related to music signals involve measuring music similarity, for instance, cover song identification, genre classification, tune similarity computation etc.  ... 
doi:10.1109/mmsp.2012.6343464 dblp:conf/mmsp/KumarTN12 fatcat:ovsl75jffvghto7fbnwphbfroy

RGB-D datasets using microsoft kinect or similar sensors: a survey

Ziyun Cai, Jungong Han, Li Liu, Ling Shao
2016 Multimedia tools and applications  
2017) RGB-D datasets using microsoft kinect or similar sensors: a survey. Multimedia Tools and Applications, 76 (3). pp.  ...  Overall, the main goal of this survey is to give a comprehensive description about the available RGB-D datasets and thus to guide researchers in the selection of suitable datasets for evaluating their  ...  With this limited information provided by RGB images, it is extremely difficult, if not impossible, to solve certain problems such as the partition of the foreground and background having similar colors  ... 
doi:10.1007/s11042-016-3374-6 fatcat:ksqnronjhbftpo4vecqdrygi3u

Searching 100M Images by Content Similarity

Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer
2009 Italian Research Conference on Digital Library Management Systems  
In the past, the development of DLSs has been mainly characterised by a from-scratch approach.  ...  optimized storage, access and search of compound objects.  ...  The authors thank Maristella Agosti, Nicola Ferro and Giorgio Di Nunzio for their valuable support in the development of the proposed approach.  ... 
dblp:conf/ircdl/BolettieriFLMPRS09 fatcat:k3n4ffi4bfbwjgyooga22rummq

Musiclef: A Benchmark Activity In Multimodal Music Information Retrieval

Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot
2011 Zenodo  
and multidimensional similarity measures to generate playlists; the extraction of high level descriptors -e.g. melody, harmony, rhythm, structure -from audio; the automatic identification of artist and  ...  Digitized covers and audio were linked to the corresponding records.  ...  Oral Session 6: Databases and Evaluation augmented to 6680 pieces by adding recordings of classical music works by other authors. Content-based Descriptors Songs are described by audio features.  ... 
doi:10.5281/zenodo.1416505 fatcat:da4tniue3nbuzfwyv2vrh7rfee

Automatic Set List Identification And Song Segmentation For Full-Length Concert Videos

Ju-Chiang Wang, Ming-Chi Yen, Yi-Hsuan Yang, Hsin-Min Wang
2014 Zenodo  
Audio cover song identi- cial events: community-based support for multi-camera record- fication and similarity: background, approaches, evaluation, ings of school concerts.  ...  , where the ing (AF) and cover song identification (CSID).  ... 
doi:10.5281/zenodo.1417360 fatcat:jqiuukwcm5a75pfgp3vlccfgrm

Overview of MusiCLEF 2011

Nicola Orio, David Rizo
2011 Conference and Labs of the Evaluation Forum  
To this end, the benchmark activity of the first year of MusiCLEF focused on two main tasks: automatic categorization of music to be used as soundtrack of TV shows and automatic identification of the digitized  ...  MusiCLEF is a novel benchmarking activity that aims at promoting the development of new methodologies for music access and retrieval on real public music collections.  ...  Acknowledgments The authors are grateful for the support of the staff of LaCosa s.r.l. and the University of Alicante's Fonoteca.  ... 
dblp:conf/clef/OrioR11 fatcat:quyvdokxebhjlmluevbzgb32yi

Kinetic Song Comprehension: Deciphering Personal Listening Habits via Phone Vibrations [article]

Richard Matovu, Isaac Griswold-Steiner, Abdul Serwadda
2019 arXiv   pre-print
Although users can mitigate some of the risk by using a phone cover to dampen the vibrations, we show that a sophisticated attacker could adapt the attack to still classify songs with a decent accuracy  ...  In this paper, we showcase an attack in which the vibrations propagated through a user's phone while playing music via its speakers can be used to detect and classify songs.  ...  However, a robust classification engine would have to go beyond this and capture song-specific acoustic and structural attributes that are way beyond speech.  ... 
arXiv:1909.09123v1 fatcat:nl3vbfefcbgqfiwelxuhmu67cm

Artificial Musical Intelligence: A Survey [article]

Elad Liebman, Peter Stone
2020 arXiv   pre-print
While still nascent, several different approaches have been employed to tackle what may broadly be referred to as "musical intelligence."  ...  Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s.  ...  music similarity are all strongly connected to cover song identification -another field of music analysis where AI has been applied.  ... 
arXiv:2006.10553v1 fatcat:2j6i27wrsfawpgcr2unxdgngd4

Music Information Retrieval: Recent Developments and Applications

Markus Schedl, Emilia Gómez, Julián Urbano
2014 Foundations and Trends in Information Retrieval  
A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared.  ...  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  ...  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

Audio Fingerprinting: Concepts And Applications [chapter]

Pedro Cano, Eloi Batlle, Emilia Gómez, Leandro de C.T.Gomes, Madeleine Bonnet
2005 Studies in Computational Intelligence  
However, additional uses exist for audio fingerprinting and some are reviewed in this article.  ...  An audio fingerprint is a compact digest derived from perceptually relevant aspects of a recording.  ...  to evaluate several identification systems.  ... 
doi:10.1007/10966518_17 fatcat:zabeov76fbh5lp77pozn5g5sca

A Review of Audio Fingerprinting

Pedro Cano, Eloi Batlle, Ton Kalker, Jaap Haitsma
2005 Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology  
Audio Fingerprinting technologies have attracted attention since they allow the identification of audio independently of its format and without the need of meta-data or watermark embedding.  ...  The different approaches to fingerprinting have been described with different rationales and terminology: Pattern matching, Multimedia (Music) Information Retrieval or Cryptography (Robust Hashing).  ...  to evaluate several identification systems.  ... 
doi:10.1007/s11265-005-4151-3 fatcat:vgn7xidedfchnaynlcd4pua3vq
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