July 2014 Archives

The program for EUSIPCO 2014 has been announced. Papers of interest for me include:

Comparison of Different Representations Based on Nonlinear Features for Music Genre Classification Athanasia Zlatintsi (National Technical University of Athens, Greece); Petros Maragos (National Technical University of Athens, Greece)

Fast Music Information Retrieval with Indirect Matching Takahiro Hayashi (Niigata University & Department of Information Engineering, Faculty of Engineering, Japan); Nobuaki Ishii (Niigata University, Japan); Masato Yamaguchi (Niigata University, Japan)

Audio Concept Classification with Hierarchical Deep Neural Networks Mirco Ravanelli (Fondazione Bruno Kessler (FBK), Italy); Benjamin Elizalde (ICSI Berkeley, USA); Karl Ni (Lawrence Livermore National Laboratory, USA); Gerald Friedland (International Computer Science Institute, USA)

Unsupervised Learning and Refinement of Rhythmic Patterns for Beat and Downbeat Tracking Florian Krebs (Johannes Kepler University, Linz, Austria); Filip Korzeniowski (Johannes Kepler University, Linz, Austria); Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria); Gerhard Widmer (Johannes Kepler University Linz, Austria)

Speech-Music Discrimination: a Deep Learning Perspective Aggelos Pikrakis (University of Piraeus, Greece); Sergios Theodoridis (University of Athens, Greece)

Exploring Superframe Co-occurrence for Acoustic Event Recognition Huy Phan (University of Lübeck, Germany); Alfred Mertins (Institute for Signal and Image Processing, University of Luebeck, Germany)

Detecting Sound Objects in Audio Recordings Anurag Kumar (Carnegie Mellon University, USA); Rita Singh (Carnegie Mellon University, USA); Bhiksha Raj (Carnegie Mellon University, USA)

A Montage Approach to Sound Texture Synthesis Sean O'Leary (IRCAM, France); Axel Roebel (IRCAM, France)

A Compressible Template Protection Scheme for Face Recognition Based on Sparse Representation Yuichi Muraki (Tokyo Metropolitan University, Japan); Masakazu Furukawa (Tokyo Metropolitan University, Japan); Masaaki Fujiyoshi (Tokyo Metropolitan University, Japan); Yoshihide Tonomura (NTT, Japan); Hitoshi Kiya (Tokyo Metropolitan University, Japan)

Sparse Reconstruction of Facial Expressions with Localized Gabor Moments André Mourão (Universidade Nova Lisbon, Portugal); Pedro Borges (Universidade Nova de Lisboa, Portugal); Nuno Correia (Computer Science, Portugal); Joao Magalhaes (Universidade Nova Lisboa, Portugal)

Pornography Detection Using BossaNova Video Descriptor Carlos Caetano (Federal University of Minas Gerais, Brazil); Sandra Avila (University of Campinas, Brazil); Silvio Guimarães (PUC Minas, Brazil); Arnaldo Araújo (Federal University of Minas Gerais, Brazil)

Feature Level Combination for Object Recognition Abdollah Amirkhani-Shahraki (IUST & IranUniversity of Science and Technology, Iran)

Sparse Representation and Least Squares-based Classification in Face Recognition Michael Iliadis (Northwestern University, USA); Leonidas Spinoulas (Northwestern University, USA); Albert S. Berahas (Northwestern University, USA); Haohong Wang (TCL Research America, USA); Aggelos K Katsaggelos (Northwestern University, USA)

Greedy Methods for Simultaneous Sparse Approximation Leila Belmerhnia (CRAN, Université de Lorraine, CNRS, France); El-Hadi Djermoune (CRAN, Nancy-Universite, CNRS, France); David Brie (CRAN, Nancy Université, CNRS, France)

Sparse Matrix Decompositions for Clustering Thomas Blumensath (University of Southampton, United Kingdom)

Evaluation of Non-Linear Combinations of Rescaled Reassigned Spectrograms Maria Sandsten (Lund University, Sweden)

Today, I present a talk at the SoundSoftware 2014 Third Workshop on Software and Data for Audio and Music Research: "How reproducibility tipped the scale toward article acceptance".

I discuss a recent episode in which our submission of a negative result article -- contradicting previously published work -- was favorably reviewed, and eventually published (here). The review process, and the persuasion of the reviewers, were greatly aided by our efforts at reproducibility. We won a reproducibility prize last year for this work.

There appears to be a bevy of good looking papers. I am particularly looking forward to learning more about these:

A COMPOSITIONAL HIERARCHICAL MODEL FOR MUSIC INFORMATION RETRIEVAL

AN ANALYSIS AND EVALUATION OF AUDIO FEATURES FOR MULTITRACK MUSIC MIXTURES

AN ASSOCIATION-BASED APPROACH TO GENRE CLASSIFICATION IN MUSIC

AUTOMATIC INSTRUMENT CLASSIFICATION OF ETHNOMUSICOLOGICAL AUDIO RECORDINGS

CLASSIFYING EEG RECORDINGS OF RHYTHM PERCEPTION

CODEBOOK BASED SCALABLE MUSIC TAGGING WITH POISSON MATRIX FACTORIZATION

DETECTING DROPS IN EDM: CONTENT-BASED APPROACHES TO A SOCIALLY SIGNIFICANT MUSIC EVENT

EVALUATING THE EVALUATION MEASURES FOR BEAT TRACKING

IMPROVING MUSIC RECOMMENDER SYSTEMS: WHAT CAN WE LEARN FROM RESEARCH ON MUSIC TASTES?

INFORMATION-THEORETIC MEASURES OF MUSIC LISTENING BEHAVIOUR

JAMS: A JSON ANNOTATED MUSIC SPECIFICATION FOR REPRODUCIBLE MIR RESEARCH

MIR_EVAL

MODELING TEMPORAL STRUCTURE IN MUSIC FOR EMOTION PREDICTION USING PAIRWISE COMPARISONS

MUSIC CLASSIFICATION BY TRANSDUCTIVE LEARNING USING BIPARTITE HETEROGENEOUS NETWORKS

ON COMPARATIVE STATISTICS FOR LABELLING TASKS: WHAT CAN WE LEARN FROM MIREX ACE 2013?

ON CULTURAL AND EXPERIENTIAL ASPECTS OF MUSIC MOOD

ON INTER-RATER AGREEMENT IN AUDIO MUSIC SIMILARITY

TEN YEARS OF MIREX (MUSIC INFORMATION RETRIEVAL EVALUATION EXCHANGE): REFLECTIONS, CHALLENGES AND OPPORTUNITIES

THEORETICAL FRAMEWORK OF A COMPUTATIONAL MODEL OF AUDITORY MEMORY FOR MUSIC EMOTION RECOGNITION

TRANSFER LEARNING BY SUPERVISED PRE-TRAINING FOR AUDIO-BASED MUSIC CLASSIFICATION

WHAT IS THE EFFECT OF AUDIO QUALITY ON THE ROBUSTNESS OF MFCCS AND CHROMA FEATURES?


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