M. Koppenberger

Publications22
h-index12
Citations717
Highly Influential Citations23
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An industrial-strength content-based music recommendation system
TLDR
MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals to allow navigation of multimillion track music collections in a flexible and efficient way without the need of metadata or human ratings.
View on ACM
Natural language processing of lyrics
TLDR
Preliminary results on language identification, structure extraction, categorization and similarity searches suggests that a lot of profit can be gained from the analysis of lyrics, which complements that of acoustic and cultural metadata and is fundamental for the development of complete music information retrieval systems.
View on ACM
ISMIR 2004 Audio Description Contest
TLDR
The ISMIR 2004 Audio Description Contest is reported on, which details the contest organization, evaluation metrics, data and infrastructure, and proposes ways to organize future, improved, audio description contests.
Content-based music audio recommendation
TLDR
The MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals to allow navigation of multimillion track music collections in a flexible and efficient way without the need for metadata nor human ratings.
View on ACM
Topology of music recommendation networks.
We study the topology of several music recommendation networks, which arise from relationships between artist, co-occurrence of songs in play lists or experts' recommendation. The analysis uncovers…
View on PubMed
The Social Network of Contemporary Popular Musicians
TLDR
This paper analyzes two social network datasets of contemporary musicians constructed from allmusic.com, a music and artists' information database, and finds that they differ significantly in some key network features such as the degree and the betweenness distributions.
View PDF on arXiv
The emergence of complex network patterns in music networks
TLDR
The anal ysis uncovers the emergence of complex network phenomena in music information networks built considering artists as nodes and its relations as links.
The complex network of musical tastes
TLDR
An empirical study of the evolution of a social network constructed under the influence of musical tastes, obtained thanks to the selfless effort of a broad community of users who share playlists of their favourite songs with other users is presented.
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Automatic sound annotation
TLDR
A nearest-neighbor classifier with a database of isolated sounds unambiguously linked to WordNet concepts, a semantic network that organizes real world knowledge, is used to overcome the need of a huge number of classifiers to distinguish many different sound classes.
View on IEEE
Nearest-Neighbor Automatic Sound Annotation with a WordNet Taxonomy
TLDR
A nearest-neighbor classifier with a database of isolated sounds unambiguously linked to WordNet concepts, a semantic network that organizes real world knowledge, is used to overcome the need of a huge number of classifiers to distinguish many different sound classes.
View on Springer
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