F. Vignoli

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Pradeep Yammiyavar

Indian Institute of Technology Guwahati

Perfecto Herrera

Pompeu Fabra University

Aalto University

Aalto University

Università degli Studi di Palermo

Roberto Bresin

KTH Royal Institute of Technology

Cynthia Liem

Delft University of Technology

Pedro Cano

UNAM Universidad Nacional Autónoma de México

Sebastian Stober

Potsdam University

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Papers by F. Vignoli

SIMAC: Semantic interaction with music audio contents

by F. Vignoli and S. Pauws

The SIMAC project addresses the study and development of innovative components for a music inform... more The SIMAC project addresses the study and development of innovative components for a music information retrieval system. The key feature is the usage and exploitation of semantic descriptors of musical content that are automatically extracted from music audio files. These descriptors are generated in two ways: as derivations and combinations of lower-level descriptors and as generalizations induced from manually annotated databases by the intensive application of machine learning. The project aims also towards the empowering (i.e. adding value, improving effectiveness) of music consumption behaviours, especially of those that are guided by the concept of similarity.

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Factors affecting music retrieval in query-by-melody

by F. Vignoli and S. Pauws

IEEE Transactions on Multimedia, 2000

This paper assesses the impact of three factors on the music retrieval accuracy of a query-by-mel... more This paper assesses the impact of three factors on the music retrieval accuracy of a query-by-melody (QBM) system. The investigated factors are the accuracy of the query provider (the singer), the query transcription accuracy of the acoustic front-end and the length of the query. The music retrieval accuracy is described in terms of a new concept, called the remaining information fraction (RIF). With this new concept it is possible to get more insight in the way the individual factors affect the music retrieval accuracy. The experimental results reported in this paper support the following conclusions: i) the music retrieval accuracy of a QBM system, as assessed on a large set of queries, is strongly correlated with the query transcription accuracy of its front-end, as assessed on a small set of manually transcribed queries, ii) there is still a significant gap between the accuracies obtained with manual and automatically generated query transcriptions, and iii) the music retrieval accuracy starts to drop quickly as soon as the query consists of less than 20 notes.

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A Personalized Music System for Motivation in Sport Performance

by F. Vignoli and S. Pauws

IEEE Pervasive Computing, 2005

We define the usage of the system in three stages: preparation, exercise, and feedback (see ). In... more

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A context aware personal remote control: a case study on context awareness

by Jettie Hoonhout, F. Vignoli, and V. Buil

23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings., 2003

Modern mobile devices generate a lot of frustration because they cry out for our attention, howev... more Modern mobile devices generate a lot of frustration because they cry out for our attention, however, incapable of doing it in the socially acceptable way. The major reason for such handicapped behaviour is that these devices are blind and deaf to the instant situation of the user. To improve this situation research in context awareness targets at making intelligent systems

SIMAC: Semantic interaction with music audio contents

by F. Vignoli and S. Pauws