Tutorial 1: "Why is Greek music interesting? Towards an ethics of MIR" by Andre Holzapfel and George Tzanetakis

Tutorial 2:"Musical structure analysis" by Meinard Mueller and Jordan Smith

Only for people who register for both the morining and afternoon tutorials

Tutorial 3: "Jingju music: concepts and computational tools for its analysis" by Rafael Caro Repetto, Ajay Srinivasamurthy, Sankalp Gulati and Xavier Serra

Tutorial 4: "MiningSuite, a comprehensive framework for music analysis, articulating audio (MIRtoolbox 2.0) and symbolic approaches" by Olivier Lartillot

(OS1-1) On Cultural, Textual and Experiential Aspects of Music Mood [Video]
Abhishek Singhi and Daniel Brown
University of Waterloo

(OS1-2) Sparse Cepstral and Phase Codes for Guitar Playing Technique Classification [Video]
Li Su, Li Fan Yu, Yi-Hsuan Yang
Research Center for Information Technology Innovation, Academia Sinica

(OS1-3) Automated Detection of Single- and Multi-Note Ornaments in Irish Traditional Flute Playing [Video]
Munevver Kokuer¹, Peter Jancovic², Islah Ali-MacLachlan¹, Cham Athwal^1
1Birmingham City University, ²University of Birmingham

(PS1-2) Estimating Musical Time Information from Performed MIDI Files
Harald Grohganz¹, Michael Clausen¹, Meinard Mueller^2
1University of Bonn, ²International Audio Laboratories Erlangen

(PS1-3) Estimation of the Direction of Strokes and Arpeggios
Isabel Barbancho¹, George Tzanetakis², Lorenzo J. Tardon¹, Peter F. Driessen², Ana M. Barbancho^1
1Universidad de Malaga, Andalucia Tech, ATIC Research Group,ETSI Telecomunicacion, Campus de Teatinos s/n, 29071 Malaga, SPAIN, ²University of Victoria. Department of Computer Science.Victoria, CANADA

(PS1-4) Predicting Expressive Dynamics in Piano Performances using Neural Networks
Sam van Herwaarden¹, Maarten Grachten², W. Bas de Haas^3
1Austrian Research Institute for AI (OFAI), ²Austrian Research Institute for AI, ³Utrecht University

(PS1-5) An RNN-based Music Language Model for Improving Automatic Music Transcription
Siddharth Sigtia¹, Emmanouil Benetos², Srikanth Cherla², Tillman Weyde², Artur S. d'Avila Garcez², Simon Dixon^1
1Queen Mary University of London, ²City University London

(PS1-6) Towards Modeling Texture in Symbolic Data
Mathieu Giraud¹, Florence Levé², Florent Mercier¹, Marc Rigaudière³, Donatien Thorez^1
1LIFL, ²MIS, LIFL, ³Université de Lorraine

(PS1-7) Computational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing
Nadine Kroher¹, Emilia Gómez¹, Catherine Guastavino², Francisco Gómez-Martín³, Jordi Bonada^4
1Music Technology Group, Universitat Pompue Fabra,²Centre for Interdisciplinary Research in Music Media & Technology, McGill University, ³School of Computer Science, Polytechnic University of Madrid, ⁴Music Technology Group, Universitat Pompeu Fabra

(PS1-8) The VIS Framework: Analyzing Counterpoint in Large Datasets
Christopher Antila and Julie Cumming
McGill University

(PS1-9) Hierarchical Approach to Detect Common Mistakes of Beginner Flute PlayerS
Yoonchang Han and Kyogu Lee
Seoul National University

(PS1-10) Robust Joint Alignment of Multiple Versions of a Piece of Music
Siying Wang, Sebastian Ewert, Simon Dixon
Queen Mary University of London

(PS1-11) Formalizing the Problem of Music Description
Bob Sturm¹, Rolf Bardeli², Thibault Langlois³, Valentin Emiya^4
1Aalborg University Copenhagen, ²Fraunhofer, ³ Lisbon University,⁴Aix-Marseille University

(PS1-12) An Association-based Approach to Genre Classification in Music.
Tom Arjannikov and John Z. Zhang
Department of Mathematics and Computer Science, University of Lethbridge

(PS1-13) Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks
Srikanth Cherla, Tillman Weyde, Artur d'Avila Garcez
City University London

(PS1-14) Verovio: A library for Engraving MEI Music Notation into SVG
Laurent Pugin¹, Rodolfo Zitellini¹, Perry Roland^2
1Swiss RISM Office, ²University of Virginia

(PS1-15) Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks
Diego Furtado Silva, Rafael Geraldeli Rossi, Solange Oliveira Rezende, Gustavo Enrique de Almeida Prado Alves Batista
ICMC-USP

(PS1-16) Automatic Melody Transcription based on Chord Transcription
Antti Laaksonen
University of Helsinki

(PS1-17) Audio-to-score Alignment at the Note Level for Orchestral Recordings
Marius Miron, Julio Jose Carabias-Orti, Jordi Janer
Pompeu Fabra University Barcelona

(PS1-18) A Compositional Hierarchical Model for Music Information Retrieval
Matevž Pesek¹, Aleš Leonardis², Matija Marolt1
¹University of Ljubljana, Faculty of computer and information science, ²University of Birmingham, School of Computer Science

(PS1-19) An Analysis and Evaluation of Audio Features for Multitrack Music Mixtures
Brecht De Man¹, Brett Leonard², Richard King², Joshua D. Reiss^1
1Centre for Digital Music, Queen Mary University of London, ²The Graduate Program in Sound Recording, Schulich School of Music, McGill University; Centre for Interdisciplinary Research in Music Media and Technology

(PS1-20) Detecting Drops in Electronic Dance Music: Content based approaches to a socially significant music event
Karthik Yadati, Martha Larson, Cynthia C. S. Liem, Alan Hanjalic
Delft University of Technology

(PS1-21) Towards Automatic Content-Based Separation of DJ Mixes into Single Tracks
Nikolay Glazyrin
Ural Federal University

(PS1-22) MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research
Rachel M. Bittner¹, Justin Salamon¹, Mike Tierney¹, Matthias Mauch², Chris Cannam², Juan P. Bello^1
1New York University, ²Queen Mary University

(PS1-23) Melody Extraction from Polyphonic Audio of Western Opera: A Method based on Detection of the Singer's Formant
Zheng Tang¹ and Dawn A. A. Black^2
1University of Washington, Department of Electrical Engineering, ²Queen Mary University of London, Electronic Engineering and Computer Science

Keynotes.html

(OS2-2) Note-level Music Transcription by Maximum Likelihood Sampling [Video]
Zhiyao Duan and David Temperley
University of Rochester

(OS3-2) Exploiting Instrument-wise Playing/Non-Playing Labels for Score Synchronization of Symphonic Music [Video]
Alessio Bazzica, Cynthia C. S. Liem, Alan Hanjalic
Delft University of Technology

(OS3-3) Multi-Strategy Segmentation of Melodies
Marcelo Rodríguez-López, Anja Volk, Dimitrios Bountouridis
Utrecht University

(OS3-4) A Data Set for Computational Studies of Schenkerian Analysis [Video]
Phillip Kirlin
Rhodes College

Join us for connecting with other female researchers and discussing issues related to women in MIR. Men are welcome too!

(OS4-2) Bayesian Audio Alignment based on a Unified Model of Music Composition and Performance [Video]
Akira Maezawa¹, Katsutoshi Itoyama², Kazuyoshi Yoshii², Hiroshi Okuno^3
1Kyoto University; Yamaha Corporation, ²Kyoto University, ³Waseda University

(OS4-3) Automatic Set List Identification and Song Segmentation for Full-Length Concert Videos [Video]
Ju-Chiang Wang¹, Ming-Chi Yen², Yi-Hsuan Yang², Hsin-Min Wang^2
1UCSD, ²Academia Sinica

(PS2-2) Panako - A Scalable Acoustic Fingerprinting System Handling Time-Scale and Pitch Modification
Joren Six and Marc Leman
Institute for Psychoacoustics and Electronic Music (IPEM), Department of Musicology, Ghent University, Ghent, Belgium

(PS2-3) Perceptual Analysis of the F-Measure to Evaluate Section Boundaries in Music
Oriol Nieto¹, Morwaread Farbood¹, Tristan Jehan², Juan Pablo Bello^1
1New York University, ²The Echo Nest

(PS2-4) Keyword Spotting in A-capella Singing
Anna Kruspe
Fraunhofer IDMT

(PS2-5) The Importance of F0 Tracking in Query-by-singing-humming
Emilio Molina, Lorenzo J. Tardón, Isabel Barbancho, Ana M. Barbancho
Universidad de Málaga

(PS2-6) Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio
Shrikant Venkataramani¹, Nagesh Nayak², Preeti Rao¹, Rajbabu Velmurugan^1
1Indian Institute of Technology Bombay, ²SensiBol Audio Technologies Pvt. Ltd.

(PS2-7) Improving Query by Tapping via Tempo Alignment
Chun-Ta Chen¹, Jyh-Shing Roger Jang², Chun-Hung Lu^3
1cs nthu, ²cs ntu, ³Innovative Digitech-Enabled Applications & Services Institute (IDEAS), Institute for Information Industry, Taiwan

(PS2-8) Automatic Instrument Classification of Ethnomusicological Audio Recordings
Dominique Fourer, Jean-Luc Rouas, Pierre Hanna, Matthias Robine
LaBRI, University of Bordeaux

(PS2-9) Music Analysis as a Smallest Grammar Problem
Kirill Sidorov, Andrew Jones, David Marshall
Cardiff University

(PS2-10) Frame-Level Audio Segmentation for Abridged Musical Works
Thomas Praetzlich and Meinard Mueller
International Audio Laboratories Erlangen

(PS2-11) Creating a Corpus of Jingju (Beijing Opera) Music and Possibilities for Melodic Analysis
Rafael Caro Repetto and Xavier Serra
Music Technology Group, Universitat Pompeu Fabra, Barcelona

(PS2-12) Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Technical University of Denmark

(PS2-13) Musical Structural Analysis Database Based on GTTM
Masatoshi Hamanaka¹, Keiji Hirata², Satoshi Tojo^3
1Kyoto University, ²Future University Hakodate, ³JAIST

(PS2-14) Theoretical Framework of A Computational Model of Auditory Memory for Music Emotion Recognition
Marcelo Caetano¹ and Frans Wiering^2
1INESC TEC, ²Utrecht University

(PS2-15) Improving Music Structure Segmentation using lag-priors
Geoffroy Peeters and Victor Bisot
STMS IRCAM-CNRS-UPMC

(PS2-16) Study of the Similarity between Linguistic Tones and Melodic Pitch Contours in Beijing Opera Singing
Shuo Zhang, Rafael Caro Repetto, Xavier Serra
Music Technology Group, University Pompeu Fabra

(PS2-17) A Proximity Grid Optimization Method to Improve Audio Search for Sound Design
Christian Frisson, Stéphane Dupont, Willy Yvart, Nicolas Riche, Xavier Siebert, Thierry Dutoit
University of Mons, numediart Institute

(PS2-18) Introducing a Dataset of Emotional and Color Responses to Music
Matevž Pesek¹, Primož Godec¹, Mojca Poredoš¹, Gregor Strle², Jože Guna¹, Emilija Stojmenova¹, Matevž Poga nik¹, Matija Marolt^1
1University of Ljubljana, ²Scientfic Research Centre of the Slovenian Academy of Sciences and Arts

(PS2-19) In-depth Motivic Analysis based on Multiparametric Closed Pattern and Cyclic Sequence Mining
Olivier Lartillot
Aalborg University

(PS2-20) MIR_EVAL: A Transparent Implementation of Common MIR Metrics
Colin Raffel¹, Brian McFee¹, Eric J. Humphrey², Justin Salamon², Oriol Nieto², Dawen Liang², Daniel P. W. Ellis^1
1Columbia University, ²New York University

(PS2-21) Computational Modeling of Induced Emotion Using GEMS
Anna Aljanaki, Frans Wiering, Remco C. Veltkamp
Utrecht University

(PS2-22) Cognition-inspired Descriptors for Scalable Cover Song Retrieval
Jan Van Balen, Dimitrios Bountouridis, Frans Wiering, Remco Veltkamp
Utrecht University

(PS2-23) A Cross-Cultural Study on the Mood of K-POP Songs
Xiao Hu¹, Jin Ha Lee², Kahyun Choi³, J. Stephen Downie^3
1University of Hong Kong, ²University of Washington, ³University of Illinois

(PS2-24) Cadence Detection in Western Traditional Stanzaic Songs using Melodic and Textual Features
Peter Van Kranenburg and Folgert Karsdorp
Meertens Institute, Amsterdam

Keynotes.html

(OS5-2) Identifying Polyphonic Musical Patterns From Audio Recordings Using Music Segmentation Techniques [Video]
Oriol Nieto and Morwaread Farbood
New York University

We are excited to announce that this year's ISMIR will also feature a conference mixer! It will be held on Wednesday, October 29th from 5:10-6:00PM at the conference hotel. Similar in spirit to other speed networking events, the goal of the mixer is two-fold: to connect researchers with similar interests in a relaxed setting, and to help those new to ISMIR meet and mingle with more established members of the community. Therefore, if this is your first ISMIR, this is definitely for you!

In order to plan appropriately and help everyone make the right connections, we are asking that all attendees RSVP by October 29th via the following Google form: http://goo.gl/forms/lXOBj3lcsW

MusicProgram.html

(OS7-2) Enhancing Collaborative Filtering Music Recommendation by Balancing Exploration and Exploitation [Video]
Zhe Xing, Xinxi Wang, Ye Wang
School of Computing, National University of Singapore

(OS7-3) Improving Music Recommender Systems: What Can We Learn from Research on Music Tastes [Video]
Audrey Laplante
Université de Montréal

(PS3-2) Are Poetry and Lyrics All That Different
Abhishek Singhi and Daniel Brown
University of Waterloo

(PS3-3) Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
University of Illinois at Urbana-Champaign

(PS3-4) Impact of Listening Behavior on Music Recommendation
Katayoun Farrahi¹, Markus Schedl², Andreu Vall², David Hauger², Marko Tkalcic^2
1Goldsmiths, University of London, ²Johannes Kepler University

(PS3-5) Towards Seamless Network Music Performance: Predicting an Ensemble's Expressive Decisions for Distributed Performance
Bogdan Vera and Elaine Chew
Queen Mary, University of London

(PS3-6) Detection of Motor Changes in Violin Playing by EMG Signals
Ling-Chi Hsu¹, Yu-Lin Wang¹, Yi-Ju Lin¹, Cheryl D. Metcalf², Alvin W.Y. Su^1
1Department of CSIE, National Cheng-Kung University, Taiwan, ²Faculty of Health Sciences, University of Southampton, United Kingdom

(PS3-7) Automatic Key Partition Based on Tonal Organization Information of Classical Music
Wang Kong Lam and Tan Lee
The Chinese University of Hong Kong

(PS3-8) Bayesian Singing-Voice Separation
Po-Kai Yang, Chung-Chien Hsu, Jen-Tzung Chien
National Chiao Tung University

(PS3-9) Probabilistic Extraction of Beat Positions from a Beat Activation Function
Filip Korzeniowski, Sebastian Böck, Gerhard Widmer
Department of Computational Perception, Johannes Kepler University, Linz

(PS3-10) Geographical Region Mapping Scheme Based on Musical Preferences
Sanghoon Jun¹, Seungmin Rho², Eenjun Hwang^1
1Korea University, ²Sungkyul University

(PS3-11) On Comparative Statistics for Labelling Tasks: What can We Learn from MIREX ACE 2013
John Ashley Burgoyne¹, Bas de Haas², Johan Pauwels^3
1Universiteit van Amsterdam, ²Universiteit Utrecht, ³ STMS IRCAM-CNRS-UPMS

(PS3-12) Merged-Output HMM for Piano Fingering of Both Hands
Eita Nakamura¹, Nobutaka Ono¹, Shigeki Sagayama^2
1National Institute of Informatics, ²Meiji University

(PS3-13) Modeling Rhythm Similarity for Electronic Dance Music
Maria Panteli¹, Niels Bogaards², Aline Honingh^1
1Institute for Logic, Language and Computation, University of Amsterdam, P.O. Box 94242, 1090 GE Amsterdam, Netherlands, ²Elephantcandy, Rapenburg 91c, 1011 TW Amsterdam, Netherlands

(PS3-14) MuSe: A Music Recommendation Management System
Martin Przyjaciel-Zablocki, Thomas Hornung, Alexander Schätzle, Sven Gau , Io Taxidou, Georg Lausen
University of Freiburg

(PS3-15) Tempo- and Transposition-invariant Identification of Piece and Score Position
Andreas Arzt, Gerhard Widmer, Reinhard Sonnleitner
Johannes Kepler University

(PS3-16) Gender Identification and Age Estimation of Users Based on Music Metadata
Ming-Ju Wu¹, Jyh-Shing Jang², Chun-Hung Lu^3
1National Tsing Hua University, ²National Taiwan University, ³Innovative Digitech-Enabled Applications & Services Institute (IDEAS), Institute for Information Industry, Taiwan

(PS3-17) Information-Theoretic Measures of Music Listening Behaviour
Daniel Boland and Roderick Murray-Smith
School of Computing Science, University of Glasgow, United Kingdom

(PS3-18) Evaluation Framework for Automatic Singing Transcription
Emilio Molina, Ana M. Barbancho, Lorenzo J. Tardón, Isabel Barbancho
Universidad de Málaga

(PS3-19) What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features
Julián Urbano, Dmitry Bogdanov, Perfecto Herrera, Emilia Gómez, Xavier Serra
Universitat Pompeu Fabra

(PS3-20) Music Information Behaviors and System Preferences of University Students in Hong Kong
Xiao Hu¹, Jin Ha Lee², Leanne Ka Yan Wong^1
1University of Hong Kong, ²University of Washington

(PS3-21) LyricsRadar: A Lyrics Retrieval System Based on Latent Topics of Lyrics
Shoto Sasaki¹, Kazuyoshi Yoshii², Tomoyasu Nakano³, Masataka Goto³, Shigeo Morisihima^1
1Waseda University, ²Kyoto University, ³National Institute of Advanced Industrial Science and Technology (AIST)

(PS3-22) JAMS: A JSON Annotated Music Specification for Reproducible MIR Research
Eric J. Humphrey, Justin Salamon, Oriol Nieto, Jon Forsyth, Rachel M. Bittner, Juan P. Bello
NYU

(PS3-23) On The Changing Regulations of Privacy and Personal Information in MIR
Pierre Saurel¹, Francis Rousseaux², Marc Danger^3
1Université Paris-Sorbonne, ²IRCAM, ³ADAMI

Panelists: Amelie Anglade (Senzari), Andreas Ehmann (Pandora), Avery Wang (Shazam), Lei Wang (Doreso)

(OS8-2) Singing Voice Separation Using Spectro-Temporal Modulation Features [Video]
Frederick Yen¹, Yin-Jyun Luo¹, Tai-Shih Chi^2
1Master Program of Sound And Music Innovative Technologies, ²Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C.

(OS9-2) Evaluating the Evaluation Measures for Beat Tracking [Video]
Matthew Davies¹ and Sebastian Böck^2
1INESC TEC, ²Johannes Kepler University

(OS9-3) Improving Rhythmic Transcriptions via Probability Models Applied Post-OMR [Video]
Maura Church¹ and Michael Scott Cuthbert^2
1Harvard University & Google Inc., ²MIT, Music and Theater Arts

http://www.music-ir.org/mirex/wiki/2014:GC14UX

http://www.music-ir.org/mirex/wiki/2014:MIREX2014_Results

AcceptedLBDPapers.html

theLBD.html