Recently there has been an increasing amount of work in the area of automatic genre classification of music in audio format. Such systems can be used as a way to evaluate features describing musical content as well as a way to structure large collections of music. However the evaluation and comparison of genre classification systems is hindered by the… (More)
In this paper a new auditory model-based transcriber of vocal melodic queries is presented. Our experiments show that the new system can transcribe queries with an accuracy between 76 % (whistling) and 85 % (singing with syllables), and that it outperforms four state-of-the-art systems it was compared with.
In this paper recent improvements of an existing acoustic front-end for the transcription of vocal (hummed, sung) musical queries is presented. Thanks to the addition of a new second pitch extrac-tor 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… (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)
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)