Computational Models of Similarity for Drum Samples E. Pampalk, P. Herrera, and M. Goto. IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, No. 2, pp 408-423, 2008. |
From Sound to "Sense" via Feature Extraction and Machine Learning: Deriving High-level Descriptors for Characterising Music. G. Widmer, S. Dixon, P. Knees, E. Pampalk, and T. Pohle. In P. Polotti and D. Rocchesso (eds.), Sound to Sense: Sense to Sound: A State-of-the-Art in Sound and Music Computing. Logos Verlag, 2007. |
A Content-Based User-Feedback Driven Playlist Generator and its Evaluation in a Real-World Scenario M. Gasser, E. Pampalk, and M. Tomitsch. In Proceedings of the Audio Mostly 2007 Conference on Interaction with Sound. |
A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting D. Turnbull, G. Lanckriet, E. Pampalk & M. Goto. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'07), Vienna, Austria, 2007. PDF. |
MusicSun: A New Approach to Artist Recommendation E. Pampalk and M. Goto. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'07), Vienna, Austria, 2007. PDF, Demonstration Videos. |
"Reinventing The Wheel": A Novel Approach to Music Player Interfaces T. Pohle, P. Knees, M. Schedl, E. Pampalk, and G. Widmer. IEEE Transactions on Multimedia Vol. 9, No. 3, pp 567-575, April 2007. IEEE Xplore. |
Audio-Based Music Similarity and Retrieval: Combining a Spectral Similarity Model with Information Extracted from Fluctuation Patterns E. Pampalk. Implementation submitted to the 3rd Annual Music Information Retrieval eXchange (MIREX'06), Victoria, Canada, 2006. PDF, Poster, Task Overview Poster. |
An Implementation of a Simple Playlist Generator Based on Audio Similarity Measures and User Feedback E. Pampalk and M. Gasser. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'06), pp 389-390, Victoria, Canada, 2006. PDF, Poster. |
MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling E. Pampalk and M. Goto. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'06, pp 367-370, Victoria, Canada, 2006. Demonstration, PDF, Poster. |
Visualization in Audio-Based Music Information Retrieval M. Cooper, J. Foote, E. Pampalk, and G. Tzanetakis. Computer Music Journal (CMJ), Vol. 30, No. 2, pp 42-62, 2006. MIT Press. Abstract, CMJ Article Link. |
Computational Models of Music Similarity and their Application to Music Information Retrieval E. Pampalk. Doctoral Thesis, Vienna University of Technology, Austria, March 2006. ERRATUM: The Matlab code in Equation 2.31 on page 44 is "percussiveness = mean(abs(diff(M_dB,1,2)));" but should be "percussiveness = mean(mean(abs(diff(M_dB,1,2))));" PDF (11MB), PS.GZ, (11MB). |
SIMAC: Music Collection Structuring and Navigation Module E. Pampalk (Editor). SIMAC Project Deliverable D351. March 2006. |
From Sound to "Sense" via Feature Extraction and Machine Learning: Deriving High-level Descriptors for Characterising Music G. Widmer, S. Dixon, P. Knees, E. Pampalk, and T. Pohle. In M. Leman and D. Cirotteau (Eds.), Sound to Sense: Sense to Sound: A State-of-the-Art, 2005. S2S2 Consortium, Florence. PDF. |
SIMAC: Semantic Interaction with Music Audio Contents P. Herrera, J. Bello, G. Widmer, M. Sandler, O. Celma, F. Vignoli, E. Pampalk, P. Cano, S. Pauws, and X. Serra. In the Proceedings of the 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies (EWIMT'05). Savoy Place, London, November 30 - December 1, 2005. |
Speeding Up Music Similarity E. Pampalk. Implementation submitted to the 2nd Annual Music Information Retrieval eXchange (MIREX'05), London, September 11-15, 2005. PDF, Poster. |
Hierarchical Organization and Description of Music Collections at the Artist Level E. Pampalk, A. Flexer, and G. Widmer. In the Proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries (ECDL'05), pp 37-48, Vienna, Austria, September 18-23, 2005. Demonstration, PDF. |
Generating Similarity-based Playlists Using Traveling Salesman Algorithms T. Pohle, E. Pampalk, and G. Widmer. In the Proceedings of the 8th International Conference on Digital Audio Effects (DAFx'05), Madrid, Spain, September 20-22, 2005. |
Dynamic Playlist Generation Based on Skipping Behavior E. Pampalk, T. Pohle, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'05), pp 634-637, London, UK, September 11-15, 2005. ERRATUM: Klaas Bosteels has been so kind to point out that the implementation of heuristic B had a bug. The performance of heuristic B is very similar to heuristic C (the correct statistics for heuristic B are for UC-1: min: 0, median: 15, mean: 82.1761, max: 1076). However, heuristic D still remains preferable. PDF, Poster (Add-On). |
Improvements of Audio-Based Music Similarity and Genre Classification E. Pampalk, A. Flexer, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15, 2005. PDF, Poster. |
Novelty Detection Based on Spectral Similarity of Songs A. Flexer, E. Pampalk, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15, 2005. |
Hidden Markov Models for Spectral Similarity of Songs A. Flexer, E. Pampalk, G. Widmer. Proceedings of the 8th International Conference on Digital Audio Effects (DAFx'05), Madrid, Spain, September 20-22, 2005. |
Studio Report: The Machine Learning and Intelligent Music Processsing Group at the Austrian Reserach Institute for Artificial Intelligence (OFAI), Vienna G. Widmer, S. Dixon, A. Flexer, W. Goebl, P. Knees, S. Madsen, E. Pampalk, T. Pohle, M. Schedl, and A. Tobudic. In the Proceedings of the International Computer Music Conference (ICMC'05), Barcelona, Spain, September 5-9, 2005. |
Evaluation of Frequently Used Audio Features for Classification of Music into Perceptual Categories T. Pohle, E. Pampalk, and G. Widmer. In the Proceedings of the Fourth International Workshop on Content-Based Multimedia Indexing (CBMI'05), Riga, Latvia, June 21-23, 2005. |
Intelligent Structuring and Exploration of Digital Music Collections M. Schedl, E. Pampalk, and G. Widmer. e&i - Elektrotechnik und Informationstechnik 7/8, pp 1-6, 2005, Springer Verlag. |
Automatic Classification of Musical Artists based on Web-Data P. Knees, E. Pampalk, and G. Widmer. ÖGAI Journal Vol. 24, No. 1, pp 16-25, 2005. |
Artist Classification with Web-based Data P. Knees, E. Pampalk, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'04), pp 517-524, Barcelona, Spain, October 10-14, 2004. Data, PDF, Presentation Slides, Bibtex. |
A Matlab Toolbox to Compute Music Similarity from Audio E. Pampalk. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'04), pp 254-257, Barcelona, Spain, October 10-14, 2004. Toolbox, PDF, Poster, Bibtex. |
Hierarchical Organization and Visualization of Drum Sample Libraries E. Pampalk, P. Hlavac, and P. Herrera. In the Proceedings of the 7th International Conference on Digital Audio Effects (DAFx'04), pp 378-383, Naples, Italy, October 5-8, 2004. Demonstration, PDF, Presentation Slides, Bibtex. |
Exploring Expressive Performance Trajectories: Six Famous Pianists Play Six Chopin Pieces W. Goebl, E. Pampalk, and G. Widmer. In the Proceedings of the International Conference on Music Perception and Cognition (ICMPC'04), pp 505–509, Evanston, Illinois, August 3-7, 2004. Demonstration, Paper. |
Evaluating Rhythmic Descriptors for Musical Genre Classification F. Gouyon, S. Dixon, E. Pampalk, and G. Widmer. In the Proceedings of the AES 25th International Conference, pp 196-204, London, UK, June 17-19, 2004. PDF. |
Exploring Music Collections by Browsing Different Views E. Pampalk, S. Dixon, and G. Widmer. Computer Music Journal (CMJ), Vol. 28, No. 2, pp 49-62, 2004. MIT Press. (Extended version of the version publised in the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'03), Baltimore.) |
A New Approach to Hierarchical Clustering and Structuring of Data with Self-Organizing Maps E. Pampalk, G. Widmer, and A. Chan. Intelligent Data Analysis Journal (IDA), Vol. 8, No. 2, pp 131-149, 2004. IOS Press, Netherlands. PDF, BibTex. |
In Search of the Horowitz Factor G. Widmer, S. Dixon, W. Goebl, E. Pampalk, and A. Tobudic. AI Magazin, Vol. 24, No. 3, pp 111-130, 2003. |
Classification of Dance Music by Periodicity Patterns S. Dixon, E. Pampalk, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'03), pp 159-165, Baltimore, MD, October 26-30, 2003. Paper, BibTex. |
Exploring Music Collections by Browsing Different Views E. Pampalk, S. Dixon, and G. Widmer. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'03), pp 201-208, Baltimore, MD, October 26-30, 2003. Webpage, PDF, Presentation Slides, BibTex. |
Aligned Self-Organizing Maps E. Pampalk. In the Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), pp 185-190, Kitakyushu, Japan, September 11-14, 2003. PDF, BibTex. |
On the Evaluation of Perceptual Similarity Measures for Music E. Pampalk, S. Dixon, and G. Widmer. In the Proceedings of the International Conference on Digital Audio Effects (DAFx-03), pp 7-12, London, September 8-11, 2003. ERRATUM: The KL-distance was not implemented correctly in the experiments reported in this paper. The performance of LS is closer to AP. PDF, Presentation Slides, BibTex. |
Visualizing Changes in the Structure of Data for Exploratory Feature Selection E. Pampalk, W. Goebl, G. Widmer. In the Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'03), pp 157-166, Washington DC, August 24-27, 2003, ACM. Webpage, PDF, BibTex. |
The SOM-enhanced JukeBox: Organization and Visualization of Music Collections Based on Perceptual Models A. Rauber, E. Pampalk, and D. Merkl. Journal of New Music Research (JNMR), Vol. 32, No. 2, pp 193-210, 2003. |
Islands of Music - Analysis, Organization, and Visualization of Music Archives E. Pampalk. Journal of the Austrian Society for Artificial Intelligence (ÖGAI), Vol. 22, No. 4, pp 20-23, 2003. Webpage, PDF. |
Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Sound Similarities A. Rauber, E. Pampalk, and D. Merkl. In the Proceedings of the ISMIR International Conference on Music Information Retrieval (ISMIR'02), pp 71-80, Paris, France, October 13-17, 2002. |
Growing Hierarchical Self Organising Map (GHSOM) Toolbox: Visualisations and Enhancements A. Chan and E. Pampalk. In the Proceedings of the International Conference on Neural Information Processing (ICONIP'02), Vol. 5, pp 2537-2541, Singapore, November 18-22, 2002. |
Content-based Organization and Visualization of Music Archives E. Pampalk, A. Rauber, and D. Merkl. In the Proceedings of the 10th ACM International Conference on Multimedia (MM'02), pp 570-579, Juan-les-Pins, France, December 1-6, 2002, ACM. Feature Extraction Demo (QuickTime Movie): Large (190MB 25 FPS), Small (70MB 9 FPS) Islands of Music, PDF, BibTex. |
Content-based Music Indexing and Organization A. Rauber, E. Pampalk, and D. Merkl. In the Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'02), pp 409-410, Tampere, Finland, August 11-15, 2002, ACM. |
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps E. Pampalk, A. Rauber, and D. Merkl. In the Proceedings of the International Conference on Artificial Neural Networks (ICANN'02), Springer Lecture Notes in Computer Science, pp 871-876, Madrid, Spain, August 27-30, 2002, Springer, LNCS 2415. SDH Matlab Toolbox, PDF, BibTex. |
Islands of Music: Analysis, Organization, and Visualization of Music Archives E. Pampalk. Master's thesis, Department of Software Technology and Interactive Systems, Vienna University of Technology, December 2001. Webpage, gnu-zipped postscript (3 MB), PDF (3.6 MB), BibTex. |
Empirical Evaluation of Clustering Algorithms A. Rauber, J. Paralic, and E. Pampalk. Journal of Information and Organizational Sciences (JIOS), Vol. 24, No. 2, pp 195-209, 2000. (Originally appeared in the Proceedings of the 11th International Conference on Information and Intelligent Systems (IIS'2000), Varadin, Croatia.) Abstract, gnu-zipped postscript (460 KB), PDF (390 KB), BibTeX. |
Computational Models of Music Similarity [Invited Talk] E. Pampalk. SIGMUS Workshop, Osaka, Japan, October 27, 2006. Presentation Slides (2MB), Announcement. |
Analysis, Organization, and Visualization of Music [Invited Talk] E. Pampalk. National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, November 18, 2005. |
Music Similarity [Tutorial] E. Pampalk. Presented at the 6th International Conference on Music Information Retrieval (ISMIR'05), London, September 11, 2005. PDF Handout (35MB), Announcement. |
Music Information Retrieval: Introduction and Selected Applications [Research Seminar in German] E. Pampalk. Austrian Research Institute for Artificial Intelligence, Vienna, Austria, June 27, 2005. Presentation (3.5MB), |
Organisation of Music Collections [Invited Talk] Elias Pampalk. Queen Mary University of London, UK, May 11, 2005. Announcement. |
Artificial Intelligence and Music [Research Seminar] G. Widmer and E. Pampalk. Universitat Pompeu Fabra, Barcelona, Spain, February 27, 2003. Summary. |
Islands of Music [Research Seminar in German] E. Pampalk. Austrian Research Institute for Artificial Intelligence, Vienna, Austria, October 7, 2002. Announcement (in German) |
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