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11th ISMIR 2010: Utrecht, The Netherlands
- J. Stephen Downie, Remco C. Veltkamp:

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 C. 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

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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 E. 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, Vassilis 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 W. 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 W. 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 J. 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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