11. ISMIR 2010: Utrecht, The Netherlands

• 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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