Tom De Mulder

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Recently there has been an increasing amount of work in the area of automatic genre classification of music in audio format. In addition to automatically structuring large music collections such classification can be used as a way to evaluate features for describing musical content. However the evaluation and comparison of genre classification systems is(More)
In this paper recent improvements of an existing acoustic frontend for the transcription of vocal (hummed, sung) musical queries is presented. Thanks to the addition of a new second pitch extractor and the introduction of a novel multi-stage segmentation algorithm, the application domain of the front-end could be extended to whistled queries, and on top of(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(More)
A new method for the recognition of the tonal center or key in a musical audio signal is presented. Time-varying key feature vectors of 264 synthesized sounds are extracted from an auditory-based pitch model and converted into character strings using PCA-analysis and classification trees. Results are compared with distance-based methods. Examples are given(More)
Despite the ratio of incoming discharges being recognized as a key parameter in open-channel confluence hydrodynamics, little is known about the flow patterns when the tributary provides more than 90% of the total discharge. This paper offers a systematic study of flow features when the tributary becomes increasingly dominant in a 90° confluence with a(More)
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