ISMIR 2004 Audio Description Contest

In this paper we report on the ISMIR 2004 Audio Description Contest. We first detail the contest organization, evaluation metrics, data and infrastructure. We then provide the details and results of each contest in turn. Published papers and algorithm source codes are given when originally available. We finally discuss some aspects of these contests and propose ways to organize future, improved, audio description contests.

[1]  Anssi Klapuri,et al.  Signal Processing Methods for the Automatic Transcription of Music , 2004 .

[2]  Andreas Rauber,et al.  Genre-oriented Organization of Music Collections Using the SOMeJB System : An Analysis of Rhythm Patterns and Other Features , 2004 .

[3]  Jan Rohden,et al.  Low Complexity Musical Meter Estimation from Polyphonic Music , 2004 .

[4]  Elias Pampalk A Matlab Toolbox to Compute Music Similarity from Audio , 2004, ISMIR.

[5]  Steve R. Gunn,et al.  Result Analysis of the NIPS 2003 Feature Selection Challenge , 2004, NIPS.

[6]  David Pearce,et al.  The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions , 2000, INTERSPEECH.

[7]  Pedro Cano,et al.  A review of algorithms for audio fingerprinting , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[8]  Markus Koppenberger,et al.  MTG-DB: a repository for music audio processing , 2004, Proceedings of the Fourth International Conference onWeb Delivering of Music, 2004. EDELMUSIC 2004..

[9]  Miguel A. Alonso,et al.  Tempo And Beat Estimation Of Musical Signals , 2004, ISMIR.

[10]  Jaakko Astola,et al.  Analysis of the meter of acoustic musical signals , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[11]  Masataka Goto,et al.  Development of the RWC Music Database , 2004 .

[12]  Eric D. Scheirer,et al.  Tempo and beat analysis of acoustic musical signals. , 1998, The Journal of the Acoustical Society of America.

[13]  J. Arcos,et al.  A Comparison of Different Approaches to Melodic Similarity ? , 2002 .

[14]  Simon Dixon,et al.  A Review of Automatic Rhythm Description Systems , 2005, Computer Music Journal.

[15]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[16]  Stephen Cox,et al.  Features and classifiers for the automatic classification of musical audio signals , 2004, ISMIR.

[17]  François Pachet,et al.  A taxonomy of musical genres , 2000, RIAO.

[18]  J. S. Downie The MIR/MDL Evaluation Project White Paper Collection , 2002 .

[19]  Stephen Cox,et al.  Some statistical issues in the comparison of speech recognition algorithms , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[20]  Simon Dixon,et al.  Automatic Extraction of Tempo and Beat From Expressive Performances , 2001 .

[21]  Gerhard Widmer,et al.  Towards Characterisation of Music via Rhythmic Patterns , 2004, ISMIR.

[22]  Daniel P. W. Ellis,et al.  A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures , 2004, Computer Music Journal.

[23]  Anssi Klapuri,et al.  Melody Description and Extraction in the Context of Music Content Processing , 2003 .

[24]  Thomas Sikora,et al.  A Query by Humming System using MPEG-7 Descriptors , 2004 .

[25]  Gerhard Widmer,et al.  Classification of dance music by periodicity patterns , 2003, ISMIR.

[26]  J. Stephen Downie,et al.  Music information retrieval , 2005, Annu. Rev. Inf. Sci. Technol..

[27]  Amílcar Cardoso,et al.  A methodology for detection of melody in polyphonic music signals , 2004 .

[28]  J. Stephen Downie,et al.  The Scientific Evaluation of Music Information Retrieval Systems: Foundations and Future , 2004, Computer Music Journal.