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Towards efficient automated singer identification in large music databases

Jialie Shen, Bin Cui, John Shepherd, Kian-Lee Tan
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
Automated singer identification is important in organising, browsing and retrieving data in large music databases.  ...  In this paper, we propose a novel scheme, called Hybrid Singer Identifier (HSI), for automated singer recognition.  ...  SYSTEM ARCHITECTURE In this section, we present a new method, called Hybrid Singer Identifier (HSI), to facilitate automated singer recognition in large music databases.  ... 
doi:10.1145/1148170.1148184 dblp:conf/sigir/ShenCST06 fatcat:pziiybemmzb6po4au5ivrx2oii

A novel framework for efficient automated singer identification in large music databases

Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan
2009 ACM Transactions on Information Systems  
In this article, we propose a novel scheme, called Hybrid Singer Identifier (HSI), for efficient automated singer recognition.  ...  One such characteristic, useful in a range of applications, is the identification of the singer in a musical piece.  ...  Keith van Rijsbergen in the Department of Computing Science at the University of Glasgow for his valuable advice.  ... 
doi:10.1145/1508850.1508856 fatcat:eyvez56zrvhinhw5vurenw4fpq

Music Data Mining [chapter]

Tao Li, Lei Li
2011 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
Singer Identification: Automated singer identification is important in organizing, browsing and retrieving data in large music collections due to numerous potential applications including music indexing  ...  The development of singer identification enables the effective management of music databases based on "singer similarity".  ...  Mining association rules between sets of items in large databases. ACM SIGMOD Record, 22 (2)  ... 
doi:10.1201/b11041-3 fatcat:y2etjljj6jdzrkq7dzikyk5kwq

Automatic Identification of the Sung Language in Popular Music Recordings

Wei-Ho Tsai, Hsin-Min Wang
2007 Journal of New Music Research  
As part of the research into content-based music information retrieval (MIR), this paper presents a preliminary attempt to automatically identify the language sung in popular music recordings.  ...  In addition, to eliminate interference from background music, we leverage the statistical estimation of the background musical accompaniment of a song so that the vector clustering truly reflects the solo  ...  In addition, the reason for the bias towards identifying the tracks in DB-3-EM as Mandarin is probably because a large proportion of the singers in DB-3-EM are Chinese.  ... 
doi:10.1080/09298210701755206 fatcat:2ojmlqid3bcxjcaweofnjbrunq

Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment

David M. Weigl, Cynthia C. S. Liem, Álvaro Sarasúa, Marcel van Tilburg, Werner Goebl, Tim Crawford, Aggelos Gkiokas, Nicolas F. Gutierrez, Alastair Porter, Patricia Santos, Casper Karreman, Ingmar Vroomen
2019 6th International Conference on Digital Libraries for Musicology on - DLfM '19  
TROMPA-Towards Richer Online Music Public-domain Archives-addresses this through a knowledge graph interweaving composers, performers, and works described in established digital music libraries, facilitating  ...  The turn toward the digital has opened up previously difficult to access musical materials to wider musicological scholarship.  ...  We gratefully acknowledge the collaboration of our colleagues in the TROMPA consortium.  ... 
doi:10.1145/3358664.3358666 dblp:conf/dlfm/WeiglGCGGPSKVLS19 fatcat:es3itob5rrbtxkwwbswlmpxdqi

Popular music access: The Sony music browser

François Pachet, Amaury La Burthe, Aymeric Zils, Jean-Julien Aucouturier
2004 Journal of the American Society for Information Science and Technology  
First, we are interested in human-centered issues related to browsing "Popular Music". Popular here means that the music accessed to is widely distributed, and known to many listeners.  ...  The intentionally ambiguous expression "Popular Music Browser" reflects the two main goals of this project, which started in 1998, at Sony CSL laboratory.  ...  These techniques are sufficiently robust to work well on large databases, but rely on the existence of huge databases of audio fingerprints.  ... 
doi:10.1002/asi.20055 fatcat:sv53necfcraylf72pj5rywubfa

Music Indexing and Retrieval: Current Problems

Elizabeth Joan Kelly
2016 Figshare  
, but little in the way of sorting through it.  ...  Academics and librarians have yet to reach a consensus on the indexing of print resources about music, nor have they developed satisfactory means of indexing sheet music.  ...  identification would benefit from further research (Rein and Reisslein, 2006) . 8 Conclusion While steps are being made towards more efficient means of indexing and retrieving music, there is still  ... 
doi:10.6084/m9.figshare.3206098.v1 fatcat:7tqhcnaqfngrrjjzyzpsa4bfi4

Robust Segmentation And Annotation Of Folk Song Recordings

Meinard Müller, Peter Grosche, Frans Wiering
2009 Zenodo  
Finally, in Sect. 5, we indicate how our segmentation results can be used as basis for novel user interfaces, sketch possible applications towards automated performance analysis, and give prospects on  ...  We then compute the precision P and the recall R boundary identification task.  ... 
doi:10.5281/zenodo.1417098 fatcat:5mcx2cfxezceziinyisjv7ppva

Exploiting Semantic Content for Singing Voice Detection

Ioannidis Leonidas, Jean-Luc Rouas
2012 2012 IEEE Sixth International Conference on Semantic Computing  
In this paper we propose a method for singing voice detection in popular music recordings. The method is based on statistical learning of spectral features extracted from the audio tracks.  ...  In our method we use Mel Frequency Cepstrum Coefficients (MFCC) to train two Gaussian Mixture Models (GMM).  ...  It is a problem that has been long studied since it is related to many applications of music information retrieval tasks such as singer identification, automatic lyrics transcription and alignment.  ... 
doi:10.1109/icsc.2012.18 dblp:conf/semco/IoannidisR12 fatcat:uvfw7ju3bjdqfkdxk6tyunzsfy

Proceedings of the 10th International Workshop on Folk Music Analysis (FMA2022) [article]

Andre Holzapfel, Ali-MacLachlan
2022 Zenodo  
The 10th International Workshop on Folk Music Analysis was held from 14 to 17 June 2022 in Sheffield, UK.  ...  We would like to thank the local team in Sheffield, all students and administrative staff who helped us.  ...  DATA AVAILABILITY AND SUPPLEMENTARY MATERIAL Data and analysis code are available at https://  ... 
doi:10.5281/zenodo.7100287 fatcat:dyptbi4xzjhnxgl2kydolgbvna

Musart: Music Retrieval Via Aural Queries

William P. Birmingham
2001 Zenodo  
Because of the large number of patterns that MME may find in a complex piece of music, it must be computationally efficient.  ...  We have made progress toward more robust and flexible music databases. Our work on Markov models provides a new an approach to musical abstraction and retrieval.  ... 
doi:10.5281/zenodo.1415809 fatcat:lym2edtetvfnbamai3j6inf4ce

Blockchain and Smart Contracts in the Recording Industry

Nicolas Neysen
While the blockchain brings interesting solutions in favour of an improved management of copyright data and fees collection, several barriers impede their uptake and large-scale adoption.  ...  burgeoning body of research has described how the blockchain technology may affect the way firms operate within the recording industry which has undergone profound changes due to the dematerialisation of music  ...  However, there are lots of these databases, the identification codes of which only pertain to partial rights.  ... 
doi:10.35808/ersj/1587 fatcat:qp7axafd2ffrtkacw4njss6sja

Database-Driven Systems and Applications for Music Information Management

Otto Wüst, Xavier Serra
2003 Zenodo  
Many scientific and technical developments in recent years have lead to a situation where moderately large collections of multimedia data, in particular of musical data, are available to computer users  ...  This work analyzes the problems and scientific contributions in the field of music information retrieval, specifically focusing on database related issues and applications, to establish the state of the  ...  This is specially true for somebody working full time in a consulting division of a large international corporation.  ... 
doi:10.5281/zenodo.3739275 fatcat:ufl2capn7zblroz3hyy5y5abmy

Issues on Modeling the Singing Voice

Alex Loscos, Xavier Serra
2003 Zenodo  
This work presents and puts into context the research contained in all publications in which the author has been involved so far.  ...  Acknowledgements We would like to acknowledge the contribution to this research of the other members of the Music Technology Group of the Audiovisual Institute.  ...  I would like to thank all the people from the Music Technology Group, especially to Jordi, Pedro, Perfe, Ramon, Maarten, Xavier, Oscar, Jaume, Mark, Zeta, Lars, Emilia, Fabien, Enric, Joana, Cristina,  ... 
doi:10.5281/zenodo.3739254 fatcat:jczy57vmfbbbbg2rrnnswiykvu

A Comprehensive Survey of Personalized Music Identifier System

Soumi Ghosh, Devanshu Tyagi, Daksh Vashisht, Abhishek Yadav, Dharmendra Rajput
2021 International journal of recent technology and engineering  
in the task of designing an effective system for music identification or recommendation.  ...  recommendation of music to a large extend but still it is not enough.  ...  the system more efficient too.  ... 
doi:10.35940/ijrte.f5316.039621 fatcat:mspco6bxsvhddolhebdui5jtte
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