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PUBLICATIONS
FOR RECENT PUBLICATIONS PLEASE CHECK MY AIST WEBPAGE OR MY PERSONAL WEBPAGE.
"Reinventing The Wheel": A Novel Approach to Music Player Interfaces
Audio-Based Music Similarity and Retrieval: Combining a Spectral Similarity Model with Information Extracted from Fluctuation Patterns
An Implementation of a Simple Playlist Generator Based on Audio Similarity Measures and User Feedback
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E. Pampalk and M. Gasser. In the Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR'06), Victoria, Canada, 2006.
>> PDF, Poster. |
MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling
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E. Pampalk and M. Goto. In the Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR'06), Victoria, Canada, 2006. |
Visualization in Audio-Based Music Information Retrieval
Computational Models of Music Similarity and their Application to Music Information Retrieval
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E. Pampalk. Doctoral Thesis, Vienna University of Technology,
Austria, March 2006.
>> PDF (11MB), PS.GZ, (11MB). |
From Sound to "Sense" via Feature Extraction and Machine Learning: Deriving High-level Descriptors for Characterising Music
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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. S2S2 Consortium, Florence.
>> PDF. |
SIMAC: Semantic Interaction with Music Audio Contents
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P. Herrera,
J. Bello,
G. Widmer,
M. Sandler,
Ò. 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.
>> PDF. |
Speeding Up Music Similarity
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E. Pampalk. Implementation submitted to the 2nd Annual Music Information Retrieval eXchange (MIREX'05), London,
September 11-15.
>> PDF, Poster. |
ISMIR'05 Tutorial: Music Similarity
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E. Pampalk. Presented at the 6th International Conference on Music Information Retrieval (ISMIR'05),
London,
September 11-15.
>> PDF Handout (35MB). |
Hierarchical Organization and Description of Music Collections at the Artist Level
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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.
>> Webpage, PDF. |
Generating Similarity-based Playlists Using Traveling Salesman Algorithms
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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. |
Dynamic Playlist Generation Based on Skipping Behaviour
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E. Pampalk, T. Pohle, and G. Widmer. In the Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR'05), pp 634-637, London, UK, September 11-15.
>> PDF, Poster (Add-On). |
Improvements of Audio-Based Music Similarity and Genre Classification
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E. Pampalk, A. Flexer, and G. Widmer. In the Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15.
>> PDF, Poster. |
Novelty Detection for Spectral Similarity of Songs
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A. Flexer, E. Pampalk, and G. Widmer. In the Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15. |
Studio Report: The Machine Learning and Intelligent Music Processsing Group at the Austrian Reserach Institute for Artificial Intelligence (OFAI), Vienna
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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.
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Evaluation of Frequently Used Audio Features for Classification of Music into Perceptual Categories
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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.
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Intelligent Structuring and Exploration of Digital Music Collections
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M. Schedl , E. Pampalk, and G. Widmer. e&i - Elektrotechnik und Informationstechnik 7/8, pp 1-6, Springer Verlag. |
Automatic Classification of Musical Artists based on Web-Data
Artist Classification with Web-based Data
A Matlab Toolbox to Compute Music Similarity from Audio
Hierarchical Organization and Visualization of Drum Sample Libraries
Exploring Expressive Performance Trajectories: Six Famous Pianists Play Six Chopin Pieces
Evaluating Rhythmic Descriptors for Musical Genre Classification
Exploring Music Collections by Browsing Different Views
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E. Pampalk, S. Dixon, and G. Widmer. Computer Music Journal (CMJ), Vol. 28, No. 2, pp 49-62, 2004. MIT Press. (Revised version, originally appeared in: Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR'04), Baltimore.) |
A New Approach to Hierarchical Clustering
and Structuring of Data with Self-Organizing Maps
In Search of the
Horowitz Factor
Classification
of Dance Music by Periodicity Patterns
Exploring Music Collections by
Browsing Different Views
Aligned Self-Organizing Maps
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E. Pampalk. In the Proceedings of the
Workshop on Self-Organizing Maps (WSOM'03),
pp 185-190, Kitakyushu, Japan, September 11-14.
>>
Technical
Report OeFAI-TR-2003-20
(PDF), BibTex.
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On the Evaluation of Perceptual
Similarity Measures for Music
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E. Pampalk, S.
Dixon, and G.
Widmer. In the Proceedings of the 6th International Conference
on Digital Audio Effects (DAFx-03),
pp 7-12, London, September 8-11.
>>
Technical Report OeFAI-TR-2003-22
(PDF), Presentation
Slides, BibTex. ERRATUM: The KL-distance was not implemented correctly for the experiments in this paper. Thus the results regarding LS should be ignored. (The performance of LS is much closer to AP.) |
Visualizing Changes in the Structure
of Data for Exploratory Feature Selection
The SOM-enhanced JukeBox: Organization and Visualization
of Music Collections Based on Perceptual Models
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A.
Rauber, E. Pampalk, and D.
Merkl. Journal of New Music Research (JNMR),
Vol. 32, No. 2,
pp 193-210, Swets &
Zeitlinger. |
Islands of Music - Analysis, Organization, and Visualization of Music Archives
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E. Pampalk. Journal of the
Austrian Society for Artificial Intelligence (ÖGAI),
Vol. 22, No. 4,
pp 20-23.
>>
Webpage, Technical Report
OeFAI-TR-2004-01
(PDF).
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Using Psycho-Acoustic Models and Self-Organizing Maps to
Create a Hierarchical Structuring of Music by Sound Similarities
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A.
Rauber, E. Pampalk, and D.
Merkl. In the Proceedings of the 3rd International Conference
on Music Information Retrieval (ISMIR'02),
pp 71-80, Paris, France, October 13-17. |
Growing Hierarchical Self Organising
Map (GHSOM) Toolbox: Visualisations and Enhancements
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A.
Chan and E. Pampalk. In the Proceedings of the 9th International
Conference on Neural Information Processing (ICONIP'02),
Vol. 5, pp 2537-2541, Singapore, November 18-22. |
Content-based Organization and Visualization
of Music Archives
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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, ACM.
>> Feature Extraction Demo (QuickTime Movie): Large (190MB 25 FPS), Small (70MB 9 FPS)
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Islands of Music, Technical Report OeFAI-TR-2002-30
(PDF), BibTex. |
Content-based Music Indexing and Organization
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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, ACM. |
Using Smoothed Data Histograms for Cluster
Visualization in Self-Organizing Maps
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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, Springer,
LNCS
2415.
>>
SDH Matlab Toolbox, Technical Report OeFAI-TR-2002-29
(PDF), BibTex. |
Islands of Music: Analysis, Organization, and Visualization
of Music Archives
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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.
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Empirical Evaluation of Clustering Algorithms
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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. |
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last updated: November 1st,
2006 by elias |
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