11. ISMIR 2010:
Utrecht, The Netherlands
J. Stephen Downie, Remco C. Veltkamp (Eds.):
Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010, Utrecht, Netherlands, August 9-13, 2010.
International Society for Music Information Retrieval 2010, ISBN 978-90-393-53813
- Tom Collins, Jeremy Thurlow, Robin Laney, Alistair Willis, Paul H. Garthwaite:
A Comparative Evaluation of Algorithms for Discovering Translational Patterns in Baroque Keyboard Works.
3-8

- Verena Konz, Meinard Müller, Sebastian Ewert:
A Multi-Perspective Evaluation Framework for Chord Recognition.
9-14

- Riccardo Miotto, Nicola Orio:
A Probabilistic Approach to Merge Context and Content Information for Music Retrieval.
15-20

- Graham Grindlay, Daniel P. W. Ellis:
A Probabilistic Subspace Model for Multi-instrument Polyphonic Transcription.
21-26

- Maxime Le Coz, Hélène Lachambre, Lionel Koenig, Régine André-Obrecht:
A Segmentation-based Tempo Induction Method.
27-32

- Igor Vatolkin, Wolfgang M. Theimer, Martin Botteck:
AMUSE (Advanced MUSic Explorer) - A Multitool Framework for Music Data Analysis.
33-38

- Cyril Joder, Slim Essid, Gaël Richard:
An Improved Hierarchical Approach for Music-to-symbolic Score Alignment.
39-45

- Chung-Che Wang, Jyh-Shing Roger Jang, Wennen Wang:
An Improved Query by Singing/Humming System Using Melody and Lyrics Information.
45-50

- Andrew Hankinson, Laurent Pugin, Ichiro Fujinaga:
An Interchange Format for Optical Music Recognition Applications.
51-56

- Dingding Wang, Tao Li, Mitsunori Ogihara:
Are Tags Better Than Audio? The Effect of Joint Use of Tags and Audio Content Features for Artistic Style Clustering.
57-62

- Shintaro Funasawa, Hiromi Ishizaki, Keiichiro Hoashi, Yasuhiro Takishima, Jiro Katto:
Automated Music Slideshow Generation Using Web Images Based on Lyrics.
63-68

- Eric Humphrey:
Automatic Characterization of Digital Music for Rhythmic Auditory Stimulation.
69-74

- Menno van Zaanen, Pieter Kanters:
Automatic Mood Classification Using TF*IDF Based on Lyrics.
75-80

- Emanuele Coviello, Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Automatic Music Tagging With Time Series Models.
81-86

- Halfdan Rump, Shigeki Miyabe, Emiru Tsunoo, Nobutaka Ono, Shigeki Sagayama:
Autoregressive MFCC Models for Genre Classification Improved by Harmonic-percussion Separation.
87-92

- Jakob Abesser, Paul Bräuer, Hanna M. Lukashevich, Gerald Schuller:
Bass Playing Style Detection Based on High-level Features and Pattern Similarity.
93-98

- Leigh M. Smith:
Beat Critic: Beat Tracking Octave Error Identification By Metrical Profile Analysis.
99-104

- Qi Lu, Xiaoou Chen, Deshun Yang, Jun Wang:
Boosting for Multi-Modal Music Emotion Classification.
105-110

- Thierry Bertin-Mahieux, Ron J. Weiss, Daniel P. W. Ellis:
Clustering Beat-Chroma Patterns in a Large Music Database.
111-116

- Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees:
What's Hot? Estimating Country-specific Artist Popularity.
117-122

- Ron J. Weiss, Juan Pablo Bello:
Identifying Repeated Patterns in Music Using Sparse Convolutive Non-negative Matrix Factorization.
123-128

- Cillian Kelly, Mikel Gainza, David Dorran, Eugene Coyle:
Locating Tune Changes and Providing a Semantic Labelling of Sets of Irish Traditional Tunes.
129-134

- Matthias Mauch, Simon Dixon:
Approximate Note Transcription for the Improved Identification of Difficult Chords.
135-140

- Thomas Rocher, Matthias Robine, Pierre Hanna, Laurent Oudre:
Concurrent Estimation of Chords and Keys from Audio.
141-146

- Hussein Hirjee, Daniel G. Brown:
Solving Misheard Lyric Search Queries Using a Probabilistic Model of Speech Sounds.
147-152

- Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt:
Collaborative Filtering Based on P2P Networks.
153-158

- Alex Hrybyk, Youngmoo Kim:
Combined Audio and Video Analysis for Guitar Chord Identification.
159-164

- Teppo E. Ahonen:
Combining Chroma Features For Cover Version Identification.
165-170

- Arthur Flexer, Dominik Schnitzer, Martin Gasser, Tim Pohle:
Combining Features Reduces Hubness in Audio Similarity.
171-176

- Nick Collins:
Computational Analysis of Musical Influence: A Musicological Case Study Using MIR Tools.
177-182

- Jin Ha Lee:
Crowdsourcing Music Similarity Judgments using Mechanical Turk.
183-188

- Frédéric Bimbot, Olivier Le Blouch, Gabriel Sargent, Emmanuel Vincent:
Decomposition Into Autonomous and Comparable Blocks: A Structural Description of Music Pieces.
189-194

- Bruno Angeles, Cory McKay, Ichiro Fujinaga:
Discovering Metadata Inconsistencies.
195-200

- Darrell Conklin, Mathieu Bergeron:
Discovery of Contrapuntal Patterns.
201-206

- Alberto Pinto:
Eigenvector-based Relational Motif Discovery.
207-212

- Cory McKay, John Ashley Burgoyne, Jason Hockman, Jordan B. L. Smith, Gabriel Vigliensoni, Ichiro Fujinaga:
Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features.
213-218

- Joachim Ganseman, Paul Scheunders, Gautham J. Mysore, Jonathan S. Abel:
Evaluation of a Score-informed Source Separation System.
219-224

- Miguel Molina-Solana, Maarten Grachten, Gerhard Widmer:
Evidence for Pianist-specific Rubato Style in Chopin Nocturnes.
225-230

- Jason Hockman, Ichiro Fujinaga:
Fast vs Slow: Learning Tempo Octaves from User Data.
231-236

- Scott Miller, Paul Reimer, Steven R. Ness, George Tzanetakis:
Geoshuffle: Location-Aware, Content-based Music Browsing Using Self-organizing Tag Clouds.
237-242

- Christian Fremerey, Meinard Müller, Michael Clausen:
Handling Repeats and Jumps in Score-performance Synchronization.
243-248

- Jingxuan Li, Tao Li, Mitsunori Ogihara:
Hierarchical Co-Clustering of Artists and Tags.
249-254

- Youngmoo E. Kim, Erik M. Schmidt, Raymond Migneco, Brandon G. Morton, Patrick Richardson, Jeffrey J. Scott, Jacquelin A. Speck, Douglas Turnbull:
State of the Art Report: Music Emotion Recognition: A State of the Art Review.
255-266

- Ioannis Karydis, Milos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic:
Looking Through the "Glass Ceiling": A Conceptual Framework for the Problems of Spectral Similarity.
267-272

- Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
On the Applicability of Peer-to-peer Data in Music Information Retrieval Research.
273-278

- Thomas Lidy, Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Antonio Pertusa, José Manuel Iñesta Quereda:
A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization.
279-284

- Julián Urbano, Mónica Marrero, Diego Martín, Juan Lloréns:
Improving the Generation of Ground Truths Based on Partially Ordered Lists.
285-290

- João Lobato Oliveira, Fabien Gouyon, Luis Gustavo Martins, Luís Paulo Reis:
IBT: A Real-time Tempo and Beat Tracking System.
291-296

- Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet:
Improving Auto-tagging by Modeling Semantic Co-occurrences.
297-302

- Jouni Paulus:
Improving Markov Model Based Music Piece Structure Labelling with Acoustic Information.
303-308

- Kazuyoshi Yoshii, Masataka Goto:
Infinite Latent Harmonic Allocation: A Nonparametric Bayesian Approach to Multipitch Analysis.
309-314

- Yushen Han, Christopher Raphael:
Informed Source Separation of Orchestra and Soloist.
315-320

- Gabriele Barbieri, François Pachet, Mirko Degli Esposti, Pierre Roy:
Is There a Relation Between the Syntax and the Fitness of an Audio Feature?.
321-326

- Dominik Schnitzer, Arthur Flexer, Gerhard Widmer, Martin Gasser:
Islands of Gaussians: The Self Organizing Map and Gaussian Music Similarity Features.
327-332

- Matija Marolt, Marieke Lefeber:
It's Time for a Song - Transcribing Recordings of Bell-playing Clocks.
333-338

- Philippe Hamel, Douglas Eck:
Learning Features from Music Audio with Deep Belief Networks.
339-344

- Brian McFee, Luke Barrington, Gert R. G. Lanckriet:
Learning Similarity from Collaborative Filters.
345-350

- Joaquín Mora, Francisco Gómez, Emilia Gómez, Francisco Escobar-Borrego, José Miguel Díaz-Báñez:
Characterization and Similarity in A Cappella Flamenco Cantes.
351-356

- Seokhwan Jo, Chang D. Yoo:
Melody Extraction from Polyphonic Audio Based on Particle Filter.
357-362

- Stanislaw Andrzej Raczynski, Emmanuel Vincent, Frédéric Bimbot, Shigeki Sagayama:
Multiple Pitch Transcription using DBN-based Musicological Models.
363-368

- Noor Azilah Draman, Campbell Wilson, Sea Ling:
Modified Ais-based Classifier for Music Genre Classification.
369-374

- Kazuma Murao, Masahiro Nakano, Yu Kitano, Nobutaka Ono, Shigeki Sagayama:
Monophonic Instrument Sound Segregation by Clustering NMF Components Based on Basis Similarity and Gain Disjointness.
375-380

- Parag Chordia, Avinash Sastry, Trishul Mallikarjuna, Aaron Albin:
Multiple Viewpoints Modeling of Tabla Sequences.
381-386

- Kaichun K. Chang, Jyh-Shing Roger Jang, Costas S. Iliopoulos:
Music Genre Classification via Compressive Sampling.
387-392

- Yannis Panagakis, Constantine Kotropoulos, Gonzalo R. Arce:
Sparse Multi-label Linear Embedding Within Nonnegative Tensor Factorization Applied to Music Tagging.
393-398

- Michael I. Mandel, Douglas Eck, Yoshua Bengio:
Learning Tags that Vary Within a Song.
399-404

- Jun Wang, Xiaoou Chen, Yajie Hu, Tao Feng:
Predicting High-level Music Semantics Using Social Tags via Ontology-based Reasoning.
405-410

- Özgür Izmirli, Roger B. Dannenberg:
Understanding Features and Distance Functions for Music Sequence Alignment.
411-416

- Bernhard Niedermayer, Gerhard Widmer:
A Multi-pass Algorithm for Accurate Audio-to-Score Alignment.
417-422

- Robert Macrae, Simon Dixon:
Accurate Real-time Windowed Time Warping.
423-428

- Florian Kaiser, Thomas Sikora:
Music Structure Discovery in Popular Music using Non-negative Matrix Factorization.
429-434

- Steven K. Tjoa, K. J. Ray Liu:
Musical Instrument Recognition using Biologically Inspired Filtering of Temporal Dictionary Atoms.
435-440

- Benoît Mathieu, Slim Essid, Thomas Fillon, Jacques Prado, Gaël Richard:
YAAFE, an Easy to Use and Efficient Audio Feature Extraction Software.
441-446

- Markus Schedl:
On the Use of Microblogging Posts for Similarity Estimation and Artist Labeling.
447-452

- Andre Holzapfel, Yannis Stylianou:
Parataxis: Morphological Similarity in Traditional Music.
453-458

- Aline K. Honingh, Rens Bod:
Pitch Class Set Categories as Analysis Tools for Degrees of Tonality.
459-464

- Erik M. Schmidt, Youngmoo E. Kim:
Prediction of Time-varying Musical Mood Distributions from Audio.
465-470

- Ching-Hua Chuan, Elaine Chew:
Quantifying the Benefits of Using an Interactive Decision Support Tool for Creating Musical Accompaniment in a Particular Style.
471-476

- Akira Maezawa, Masataka Goto, Hiroshi G. Okuno:
Query-by-conducting: An Interface to Retrieve Classical-music Interpretations by Real-time Tempo Input.
477-482

- Michael O. Jewell, Christophe Rhodes, Mark d'Inverno:
Querying Improvised Music: Do You Sound Like Yourself?.
483-488

- Arnaud Dessein, Arshia Cont, Guillaume Lemaitre:
Real-time Polyphonic Music Transcription with Non-negative Matrix Factorization and Beta-divergence.
489-494

- Tim Crawford, Matthias Mauch, Christophe Rhodes:
Recognising Classical Works in Historical Recordings.
495-500

- Alan Marsden:
Recognition of Variations Using Automatic Schenkerian Reduction.
501-506

- James Bergstra, Michael I. Mandel, Douglas Eck:
Scalable Genre and Tag Prediction with Spectral Covariance.
507-512

- Chun-Man Mak, Tan Lee, Suman Senapati, Yu Ting Yeung, Wang-Kong Lam:
Similarity Measures for Chinese Pop Music Based on Low-level Audio Signal Attributes.
513-518

- Daniel Gärtner:
Singing / Rap Classification of Isolated Vocal Tracks.
519-524

- Chao-Ling Hsu, Jyh-Shing Roger Jang:
Singing Pitch Extraction by Voice Vibrato / Tremolo Estimation and Instrument Partial Deletion.
525-530

- Dominikus Baur, Bartholomäus Steinmayr, Andreas Butz:
SongWords: Exploring Music Collections Through Lyrics.
531-536

- Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
String Quartet Classification with Monophonic Models.
537-542

- Peter Knees, Markus Schedl, Tim Pohle, Klaus Seyerlehner, Gerhard Widmer:
Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval.
543-548

- Carolina Ramirez, Jun Ohya:
Symbol Classification Approach for OMR of Square Notation Manuscripts.
549-554

- Aggelos Gkiokas, Vassilios Katsouros, George Carayannis:
Tempo Induction Using Filterbank Analysis and Tonal Features.
555-558

- Simone Sammartino, Lorenzo J. Tardón, Cristina de la Bandera, Isabel Barbancho, Ana M. Barbancho:
The Standardized Variogram as a Novel Tool for Music Similarity Evaluation.
559-564

- Ya-Xi Chen, René Klüber:
ThumbnailDJ: Visual Thumbnails of Music Content.
565-570

- Rafael Ferrer, Tuomas Eerola:
Timbral Qualities of Semantic Structures of Music.
571-576

- Kjell Lemström:
Towards More Robust Geometric Content-Based Music Retrieval.
577-582

- Bryan Duggan, Brendan O'Shea:
Tunepal - Disseminating a Music Information Retrieval System to the Traditional Irish Music Community.
583-588

- Florian Eyben, Sebastian Böck, Björn Schuller, Alex Graves:
Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks.
589-594

- Mathieu Lagrange, Joan Serrà:
Unsupervised Accuracy Improvement for Cover Song Detection Using Spectral Connectivity Network.
595-600

- Audrey Laplante:
Users' Relevance Criteria in Music Retrieval in Everyday Life: An Exploratory Study.
601-606

- Gabriel Vigliensoni, Cory McKay, Ichiro Fujinaga:
Using jWebMiner 2.0 to Improve Music Classification Performance by Combining Different Types of Features Mined from the Web.
607-612

- Björn Schuller, Christoph Kozielski, Felix Weninger, Florian Eyben, Gerhard Rigoll:
Vocalist Gender Recognition in Recorded Popular Music.
613-618

- Xiao Hu, J. Stephen Downie:
When Lyrics Outperform Audio for Music Mood Classification: A Feature Analysis.
619-624

- Jouni Paulus, Meinard Müller, Anssi Klapuri:
State of the Art Report: Audio-Based Music Structure Analysis.
625-636

- Michael Scott Cuthbert, Christopher Ariza:
Music21: A Toolkit for Computer-Aided Musicology and Symbolic Music Data.
637-642

- Jeffrey J. Scott, Raymond Migneco, Brandon G. Morton, Christian M. Hahn, Paul Diefenbach, Youngmoo E. Kim:
An Audio Processing Library for MIR Application Development in Flash.
643-648

- Peter Grosche, Meinard Müller, Craig Stuart Sapp:
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas.
649-654

- Charlie Inskip, Andy MacFarlane, Pauline Rafferty:
Upbeat and Quirky, With a Bit of a Build: Interpretive Repertoires in Creative Music Search.
655-661

- Emmanuel Vincent, Stanislaw Andrzej Raczynski, Nobutaka Ono, Shigeki Sagayama:
A Roadmap Towards Versatile MIR.
662-664

- Jacek Wolkowicz, Vlado Keselj:
Predicting Development of Research in Music Based on Parallels with Natural Language Processing.
665-667

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