12. ISMIR 2011: Utrecht, The Netherlands

Papers

• Karin Dressler:
  An Auditory Streaming Approach for Melody Extraction from Polyphonic Music. 19-24
  
• Yu-Ren Chien, Hsin-Min Wang, Shyh-Kang Jeng:
  An Acoustic-Phonetic Approach to Vocal Melody Extraction. 25-30
  
• Ryunosuke Daido, Seongjun Hahm, Masashi Ito, Shozo Makino, Akinori Ito:
  A System for Evaluating Singing Enthusiasm for Karaoke. 31-36
  
• Felix Weninger, Martin Wöllmer, Björn Schuller:
  Automatic Assessment of Singer Traits in Popular Music: Gender, Age, Height and Race. 37-42
  
• Erdem Unal, Elaine Chew, Panayiotis G. Georgiou, Shrikanth Narayanan:
  A Preplexity Based Cover Song Matching System for Short Length Queries. 43-48
  
• Cristina de la Bandera, Ana M. Barbancho, Lorenzo J. Tardón, Simone Sammartino, Isabel Barbancho:
  Humming Method for Content-Based Music Information Retrieval. 49-54
  
• Brian McFee, Gert R. G. Lanckriet:
  Large-scale music similarity search with spatial trees. 55-60
  
• Silvia García-Díez, Marco Saerens, Mathieu Senelle, François Fouss:
  A simple-cycles weighted kernel based on harmony structure for similarity retrieval. 61-66
  
• Bas de Haas, José Pedro Magalhães, Remco C. Veltkamp, Frans Wiering:
  HarmTrace: Improving Harmonic Similarity Estimation Using Functional Harmony Analysis. 67-72
  
• Daniel Wolff, Tillman Weyde:
  Adapting Metrics for Music Similarity Using Comparative Ratings. 73-78
  
• Dominik Schnitzer, Arthur Flexer, Markus Schedl, Gerhard Widmer:
  Using Mutual Proximity to Improve Content-Based Audio Similarity. 79-84
  
• Ju-Chiang Wang, Hung-Shin Lee, Hsin-Min Wang, Shyh-Kang Jeng:
  Learning the Similarity of Audio Music in Bag-of-frames Representation from Tagged Music Data. 85-90
  
• Teppo E. Ahonen, Kjell Lemström, Simo Linkola:
  Compression-based Similarity Measures in Symbolic, Polyphonic Music. 91-96
  
• Dmitry Bogdanov, Perfecto Herrera:
  How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets. 97-102
  
• Yajie Hu, Mitsunori Ogihara:
  NextOne Player: A Music Recommendation System Based on User Behavior. 103-108
  
• Jin Ha Lee:
  How Similar Is Too Similar?: Exploring Users' Perceptions of Similarity in Playlist Evaluation. 109-114
  
• Ren Gang, Gregory Bocko, Justin Lundberg, Stephen Roessner, Dave Headlam, Mark F. Bocko:
  A Real-Time Signal Processing Framework of Musical Expressive Feature Extraction Using Matlab. 115-120
  
• Sébastien Fenet, Gaël Richard, Yves Grenier:
  A Scalable Audio Fingerprint Method with Robustness to Pitch-Shifting. 121-126
  
• Hendrik Schreiber, Peter Grosche, Meinard Müller:
  A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting. 127-132
  
• Qingmei Xiao, Motoyuki Suzuki, Kenji Kita:
  Fast Hamming Space Search for Audio Fingerprinting Systems. 133-138
  
• Guangyu Xia, Dawen Liang, Roger B. Dannenberg, Mark Harvilla:
  Segmentation, Clustering, and Display in a Personal Audio Database for Musicians. 139-144
  
• Sebastien Gulluni, Slim Essid, Olivier Buisson, Gaël Richard:
  An Interactive System for Electro-Acoustic Music Analysis. 145-150
  
• Xavier Serra:
  A Multicultural Approach in Music Information Research. 151-156
  
• Joan Serrà, Gopala K. Koduri, Marius Miron, Xavier Serra:
  Assessing the Tuning of Sung Indian Classical Music. 157-162
  
• Peter van Kranenburg, Dániel Péter Biró, Steven R. Ness, George Tzanetakis:
  A Computational Investigation of Melodic Contour Stability in Jewish Torah Trope Performance Traditions. 163-168
  
• Joren Six, Olmo Cornelis:
  Tarsos - a Platform to Explore Pitch Scales in Non-Western and Western Music. 169-174
  
• Juhan Nam, Jiquan Ngiam, Honglak Lee, Malcolm Slaney:
  A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations. 175-180
  
• Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
  Constrained Spectrum Generation Using A Probabilistic Spectrum Envelope for Mixed Music Analysis. 181-184
  
• Marc J. Velasco, Edward W. Large:
  Pulse Detection in Syncopated Rhythms Using Neural Oscillators. 185-190
  
• Fu-Hai Frank Wu, Tsung-Chi Lee, Jyh-Shing Roger Jang, Kaichun K. Chang, Chun-Hung Lu, Wen-Nan Wang:
  A Two-Fold Dynamic Programming Approach to Beat Tracking for Audio Music with Time-Varying Tempo. 191-196
  
• Georgina Tryfou, Aki Härmä, Athanasios Mouchtaris:
  Tempo Estimation Based on Linear Prediction and Perceptual Modelling. 197-202
  
• Balaji Thoshkahna, François Xavier Nsabimana, Ramakrishnan R. Kalpathi:
  A Transient Detection Algorithm for Audio Using Iterative Analysis of STFT. 203-208
  
• Jakob Abesser, Olivier Lartillot:
  Modeling Musical Attributes to Characterize Two-Track Recordings with Bass and Drums. 209-214
  
• Meinard Müller, Sebastian Ewert:
  Chroma Toolbox: Matlab Implementations for Extracting Variants of Chroma-Based Audio Features. 215-220
  
• Ching-Hua Chuan:
  A Comparison of Statistical and Rule-Based Models for Style-Specific Harmonization. 221-226
  
• Sihyun Joo, Sanghun Park, Seokhwan Jo, Chang D. Yoo:
  Melody Extraction based on Harmonic Coded Structure. 227-232
  
• Matthias Mauch, Hiromasa Fujihara, Kazuyoshi Yoshii, Masataka Goto:
  Timbre and Melody Features for the Recognition of Vocal Activity and Instrumental Solos in Polyphonic Music. 233-238
  
• Ferdinand Fuhrmann, Perfecto Herrera:
  Quantifying the Relevance of Locally Extracted Information for Musical Instrument Recognition from Entire Pieces of Music. 239-244
  
• Sebastian Ewert, Meinard Müller:
  Score-Informed Voice Separation For Piano Recordings. 245-250
  
• Balaji Thoshkahna, Ramakrishnan R. Kalpathi:
  A Postprocessing Technique for Improved Harmonic/Percussion Separation for Polyphonic Music. 251-256
  
• Steven K. Tjoa, K. J. Ray Liu:
  Factorization of Overlapping Harmonic Sounds Using Approximate Matching Pursuit. 257-262
  
• Gopala K. Koduri, Marius Miron, Joan Serrà, Xavier Serra:
  Computational Approaches for the Understanding of Melody in Carnatic Music. 263-268
  
• Sertan Sentürk, Parag Chordia:
  Modeling Melodic Improvisation in Turkish Folk Music Using Variable-Length Markov Models. 269-274
  
• Sajjad Abdoli:
  Iranian Traditional Music Dastgah Classification. 275-280
  
• Simon Dixon, Dan Tidhar, Emmanouil Benetos:
  The Temperament Police: The Truth, the Ground Truth, and Nothing but the Truth. 281-286
  
• Frédéric Bimbot, Emmanuel Deruty, Gabriel Sargent, Emmanuel Vincent:
  Methodology and Resources for The Structural Segmentation of Music Pieces into Autonomous and Comparable Blocks. 287-292
  
• Andrew Hankinson, Perry Roland, Ichiro Fujinaga:
  The Music Encoding Initiative as a Document-Encoding Framework. 293-298
  
• Zoltán Juhász:
  Low Dimensional Visualization of Folk Music Systems Using the Self Organizing Cloud. 299-304
  
• Christopher Raphael, Jingya Wang:
  New Approaches to Optical Music Recognition. 305-310
  
• Masataka Goto, Kazuyoshi Yoshii, Hiromasa Fujihara, Matthias Mauch, Tomoyasu Nakano:
  Songle: A Web Service for Active Music Listening Improved by User Contributions. 311-316
  
• Mark Levy:
  Improving Perceptual Tempo Estimation with Crowd-Sourced Annotations. 317-322
  
• Markus Schedl, Peter Knees, Sebastian Böck:
  Investigating the Similarity Space of Music Artists on the Micro-Blogosphere. 323-328
  
• Nicholas J. Bryan, Ge Wang:
  Musical Influence Network Analysis and Rank of Sample-Based Music. 329-334
  
• David Weigl, Catherine Guastavino:
  User studies in the Music Information Retrieval Literature. 335-340
  
• Audrey Laplante:
  Social Capital and Music Discovery: An Examination of the Ties through Which Late Adolescents Discover New Music. 341-346
  
• Dan Stowell, Simon Dixon:
  MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. 347-352
  
• Mathieu Barthet, Simon Dixon:
  Ethnographic Observations of Musicologists at the British Library: Implications for Music Information Retrieval. 353-358
  
• Vladimir Viro:
  Peachnote: Music Score Search and Analysis Platform. 359-362
  
• Camélia Constantin, Cédric du Mouza, Zoé Faget, Philippe Rigaux:
  The Melodic Signature Index for Fast Content-based Retrieval of Symbolic Scores Camelia Constantin. 363-368
  
• Mika Laitinen, Kjell Lemström:
  Dynamic Programming in Transposition and Time-Warp Invariant Polyphonic Content-Based Music Retrieval. 369-374
  
• Florence Levé, Richard Groult, Guillaume Arnaud, Cyril Séguin, Rémi Gaymay, Mathieu Giraud:
  Rhythm Extraction from Polyphony Symbolic Music. 375-380
  
• George Sioros, Carlos Guedes:
  Complexity Driven Recombination of MIDI Loops. 381-386
  
• Michael Scott Cuthbert, Christopher Ariza, Lisa Friedland:
  Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit. 387-392
  
• Phillip B. Kirlin, David Jensen:
  Probabilistic Modeling of Hierarchical Music Analysis. 393-398
  
• Jonathan Bragg, Elaine Chew, Stuart Shieber:
  Neo-Riemannian Cycle Detection with Weighted Finite-State Transducers. 399-404
  
• Esben Paul Bugge, Kim Lundsteen Juncher, Brian Søborg Mathiasen, Jakob Grue Simonsen:
  Using Sequence Alignment and Voting to Improve Optical Music Recognition from Multiple Recognizers. 405-410
  
• Verena Thomas, Christian Wagner, Michael Clausen:
  OCR based post processing of OMR for the recovery of transposing instruments in complex orchestral scores. 411-416
  
• Masahiro Niitsuma, Yo Tomita:
  Classifying Bach's Handwritten C-Clefs. 417-422
  
• Gabriel Vigliensoni, John Ashley Burgoyne, Andrew Hankinson, Ichiro Fujinaga:
  Automatic Pitch Detection in Printed Square Notation. 423-428
  
• Kerstin Neubarth, Mathieu Bergeron, Darrell Conklin:
  Associations between Musicology and Music Information Retrieval. 429-434
  
• Dingding Wang, Mitsunori Ogihara:
  Potential Relationship Discovery in Tag-Aware Music Style Clustering and Artist Social Networks. 435-440
  
• Charith Gunaratna, Evan Stoner, Ronaldo Menezes:
  Using Network Sciences to Rank Musicians and Composers in Brazilian Popular Music. 441-446
  
• Débora C. Corrêa, Alexandre L. M. Levada, Luciano da F. Costa:
  Finding Community Structure in Music Genres Networks. 447-452
  
• Robert Macrae, Simon Dixon:
  Guitar Tab Mining, Analysis and Ranking. 453-458
  
• Cory McKay, David Bainbridge:
  A Musical Web Mining and Audio Feature Extraction Extension to The Greenstone Digital Library Software. 459-464
  
• Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark Sandler:
  Knowledge Representation Issues in Musical Instrument Ontology Design. 465-470
  
• György Fazekas, Mark Sandler:
  The Studio Ontology Framework. 471-476
  
• Ruofeng Chen, Ming Li:
  Music Structural Segmentation by Combining Harmonic and Timbral Information. 477-482
  
• Gabriel Sargent, Frédéric Bimbot, Emmanuel Vincent:
  A Regularity-Constrained Viterbi Algorithm and Its Application to The Structural Segmentation of Songs. 483-488
  
• Matthias Mauch, Mark Levy:
  Structural Change on Multiple Time Scales as a Correlate of Musical Complexity. 489-494
  
• Yannis Panagakis, Constantine Kotropoulos, Gonzalo R. Arce:
  l1-Graph Based Music Structure Analysis. 495-500
  
• Peter Foster, Anssi Klapuri, Mark D. Plumbley:
  Causal Prediction of Continuous-Valued Music Features. 501-506
  
• Benjamin Martin, Pierre Hanna, Vinh-Thong Ta, Myriam Desainte-Catherine, Pascal Ferraro:
  Exemplar-based Assignment of Large Missing Audio Parts using String Matching on Tonal Features. 507-512
  
• Zhiyao Duan, Bryan Pardo:
  Aligning Semi-Improvised Music Audio with Its Lead Sheet. 513-518
  
• Cynthia C. S. Liem, Alan Hanjalic:
  Expressive Timing from Cross-Performance and Audio-based Alignment Patterns: An Extended Case Study. 519-524
  
• Takuma Otsuka, Kazuhiro Nakadai, Tetsuya Ogata, Hiroshi G. Okuno:
  Incremental Bayesian Audio-to-Score Alignment with Flexible Harmonic Structure Models. 525-530
  
• Kenta Okumura, Shinji Sako, Tadashi Kitamura:
  Stochastic Modeling of a Musical Performance with Expressive Representations from the Musical Score. 531-536
  
• Brian McFee, Gert R. G. Lanckriet:
  The Natural Language of Playlists. 537-542
  
• Bernhard Niedermayer, Sebastian Böck, Gerhard Widmer:
  On the Importance of "Real" Audio Data for MIR Algorithm Evaluation at the Note-Level - A Comparative Study. 543-548
  
• Jacquelin A. Speck, Erik M. Schmidt, Brandon G. Morton, Youngmoo E. Kim:
  A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation. 549-554
  
• Jordan Bennett Louis Smith, John Ashley Burgoyne, Ichiro Fujinaga, David De Roure, J. Stephen Downie:
  Design and creation of a large-scale database of structural annotations. 555-560
  
• Andreas F. Ehmann, Mert Bay, J. Stephen Downie, Ichiro Fujinaga, David De Roure:
  Music Structure Segmentation Algorithm Evaluation: Expanding on MIREX 2010 Analyses and Datasets. 561-566
  
• Steven R. Ness, Shawn Trail, Peter F. Driessen, W. Andrew Schloss, George Tzanetakis:
  Music Information Robotics: Coping Strategies for Musically Challenged Robots. 567-572
  
• Trevor Knight, Finn Upham, Ichiro Fujinaga:
  The potential for automatic assessment of trumpet tone quality. 573-578
  
• Spencer S. Topel, Michael A. Casey:
  Elementary Sources: Latent Component Analysis for Music Composition. 579-584
  
• Alison Mattek, Michael Casey:
  Cross-Modal Aesthetics from A Feature Extraction Perspective: A Pilot Study. 585-590
  
• Thierry Bertin-Mahieux, Daniel P. W. Ellis, Brian Whitman, Paul Lamere:
  The Million Song Dataset. 591-596
  
• Julián Urbano, Diego Martín, Mónica Marrero, Jorge Morato:
  Audio Music Similarity and Retrieval: Evaluation Power and Stability. 597-602
  
• Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot:
  MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. 603-608
  
• Julián Urbano:
  Information Retrieval Meta-Evaluation: Challenges and Opportunities in the Music Domain. 609-614
  
• Meinard Müller, Peter Grosche, Nanzhu Jiang:
  A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings. 615-620
  
• Jeffrey J. Scott, Youngmoo E. Kim:
  Analysis of Acoustic Features for Automated Multi-Track Mixing. 621-626
  
• Nicola Montecchio, Arshia Cont:
  Accelerating The Mixing Phase In Studio Recording Productions By Automatic Audio Alignment. 627-632
  
• John Ashley Burgoyne, Jonathan Wild, Ichiro Fujinaga:
  An Expert Ground Truth Set for Audio Chord Recognition and Music Analysis. 633-638
  
• Matt McVicar, Yizhao Ni, Tijl De Bie, Raúl Santos-Rodriguez:
  Leveraging Noisy Online Databases for Use in Chord Recognition. 639-644
  
• Kazuyoshi Yoshii, Masataka Goto:
  A Vocabulary-Free Infinity-Gram Model for Nonparametric Bayesian Chord Progression Analysis. 645-650
  
• Taemin Cho, Juan Pablo Bello:
  A Feature Smoothing Method for Chord Recognition Using Recurrence Plots. 651-656
  
• Joakim Andén, Stéphane Mallat:
  Multiscale Scattering for Audio Classification. 657-662
  
• Rémi Foucard, Slim Essid, Mathieu Lagrange, Gaël Richard:
  Multi-scale temporal fusion by boosting for music classification. 663-668
  
• Sander Dieleman, Philemon Brakel, Benjamin Schrauwen:
  Audio-based Music Classification with a Pretrained Convolutional Network. 669-674
  
• Rudolf Mayer, Andreas Rauber:
  Music Genre Classification by Ensembles of Audio and Lyrics Features. 675-680
  
• Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun:
  Unsupervised Learning of Sparse Features for Scalable Audio Classification. 681-686
  
• Hélène Papadopoulos, Matthieu Kowalski:
  Sparse Signal Decomposition on Hybrid Dictionaries Using Musical Priors. 687-692
  
• Yoko Anan, Kohei Hatano, Hideo Bannai, Masayuki Takeda:
  Music Genre Classification using Similarity Functions. 693-698
  
• Caio Miguel Marques, Ivan Rizzo Guilherme, R. Y. M. Nakamura, João P. Papa:
  New Trends in Musical Genre Classification Using Optimum-Path Forest. 699-704
  
• Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet:
  Combining Content-Based Auto-Taggers with Decision-Fusion. 705-710
  
• Bo Xie, Wei Bian, Dacheng Tao, Parag Chordia:
  Music Tagging with Regularized Logistic Regression. 711-716
  
• Chris Sanden, John Z. Zhang:
  An Empirical Study of Multi-Label Classifiers for Music Tag Annotation. 717-722
  
• Katherine Ellis, Emanuele Coviello, Gert R. G. Lanckriet:
  Semantic Annotation and Retrieval of Music using a Bag of Systems Representation. 723-728
  
• Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck:
  Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. 729-734
  
• Mark Mann, Trevor J. Cox, Francis F. Li:
  Music Mood Classification of Television Theme Tunes. 735-740
  
• Sam Davies, Penelope Allen, Mark Mann, Trevor J. Cox:
  Musical Moods: A Mass Participation Experiment for Affective Classification of Music. 741-746
  
• Yonatan Vaizman, Roni Y. Granot, Gert R. G. Lanckriet:
  Modeling Dynamic Patterns for Emotional Content in Music. 747-752
  
• Rafael Cabredo, Roberto S. Legaspi, Masayuki Numao:
  Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data. 753-758
  
• Björn Schuller, Felix Weninger, Johannes Dorfner:
  Multi-Modal Non-Prototypical Music Mood Analysis in Continuous Space: Reliability and Performances. 759-764
  
• Xing Wang, Xiaoou Chen, Deshun Yang, Yuqian Wu:
  Music Emotion Classification of Chinese Songs based on Lyrics Using TF*IDF and Rhyme. 765-770
  
• Christopher Bennett, Richard McNeer, Colby Leider:
  Urgency Analysis of Audible Alarms in The Operating Room. 771-776
  
• Erik Schmidt, Youngmoo Kim:
  Modeling Musical Emotion Dynamics with Conditional Random Fields. 777-782
  
• Matt McVicar, Tim Freeman, Tijl De Bie:
  Mining the Correlation between Lyrical and Audio Features and the Emergence of Mood. 783-788
  
• Xiao Hu, Bei Yu:
  Exploring The Relationship Between Mood and Creativity in Rock Lyrics. 789-794
  
• Gonçalo Marques, Marcos Aurélio Domingues, Thibault Langlois, Fabien Gouyon:
  Three Current Issues In Music Autotagging. 795-800
  
• Vijay Chandrasekhar, Matt Sharifi, David A. Ross:
  Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. 801-806
  
• Asteris Zacharakis, Konstantinos Pastiadis, Georgios Papadelis, Joshua D. Reiss:
  An Investigation of Musical Timbre: Uncovering Salient Semantic Descriptors and Perceptual Dimensions. 807-812
  

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