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Systematic Musicology: Empirical and Theoretical Studies


Edited By Albrecht Schneider and Arne von Ruschkowski

This volume contains articles most of which present empirical studies in the field of systematic musicology. Contributions in particular deal with aspects of melody including modeling and computer-assisted analysis as well as with various issues in sound and music perception, musical acoustics and psychoacoustics. Topics range from loudness perception in ‘Techno’ music to sound radiation in classical singing styles, and from timbre research to wave field synthesis and room acoustics. One focus of this volume is on pop and rock music, another is on ethno and folk music. In addition to empirical investigations, theoretical and methodological issues are addressed including some fundamental concepts in ethnomusicology and folk music scholarship.


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Klaus Frieler, Frank Höger, Jörg Korries: Meloworks - An Integrated Retrieval, Analysis and E-learning Platform for Melody Research


89 Klaus Frieler1 Frank Höger Jörg Korries Meloworks - An Integrated Retrieval, Analysis and E-learning Platform for Melody Research Abstract In this paper we present the first release of a new integrated melody search and analysis online platform called Meloworks. It is built upon a database which incorporates cur- rently about 7,000 tunes from the Essen folk song collection. Songs can be searched and retrieved and statistically analyzed using a modular analysis framework based on symbolical computations. 1. Introduction Most likely, techniques of music information retrieval were first enterprised in the fields of ethno- and comparative musicology as early as 1949 (Bronson, 1949), since these disciplines had to deal which large amounts of musical data (field recordings, printed folk song collections etc.). Main research objectives have been and still are catego- risation and classification of vocal and instrumental folk music with regard to ethnical and geographical origin or functional and melodic types. To this end, different feature sets (e.g. phrase and accents structures, tonality, cadences, melodic contour, etc.) are utilised. Specific indexing techniques were developed for content-based retrieval of melodies2, which is inseparably intertwined with analytical and classificatory reasoning, e.g., by employing the concept of “tune families” based on melodic features (Bayard, 1950).3 Early examples of computational projects in ethnomusicology are Alan Lomax' famous Cantrometics project (Lomax, 1968), which was based on manually extracted feature vectors of folk songs recordings from all over the world, or the automated clas- sification of Slavonic folk tunes with the...

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