Abstract

This paper discusses how mass digitisation of music has led to an emerging discipline of Music Information Retrieval (MIR), which has focussed more on systems than on users, and identifies the area of information need for work purposes as a focus for planned research. A literature review provides an overview of developments in MIR, pointing out its multidisciplinary nature, which causes problems in evaluation and retrieval. Two types of systems, content-based and context-based are discussed, and it is suggested that each type meets differing user needs depending on the level of specialist or interest of the user and that information behaviour and need differs according to the type of user. Evaluation is discussed, suggesting there are historical links with text retrieval while proposing music retrieval has sufficient additional complexities to justify its own discipline. A discussion of user research suggests that both content and context should be considered, and that different users respond in different ways to music, leading to the requirement for systems which reflect a variety of approaches and interpretations, needs and uses. It is proposed that a range of music industry professionals are interviewed using semi-structured interviews, and observation in order to investigate their information needs and behaviour, and that the systems they use are evaluated by existing techniques of precision and recall as well as from interview and observation data. Interview questions will be based on a semiotic music analysis framework. Analysis and discussion of the data will be by reference to existing information need models and a reflexive communication model while a cognitive information seeking and retrieval model will ground the research in current thinking. It is planned that the analysis will allow the researcher to determine whether an ideal MIR system can serve the needs of the music industry professional. Finally discussion issues are raised which highlight the holistic focus and interdisciplinary approach of the project.

Highlights

  • When searching for music, users follow a number of search strategies depending on whether they are looking for known items or unspecified items that suit certain contextual criteria

  • This paper offers a brief overview of the Music Information Retrieval (MIR) literature, discussing the three areas of systems, evaluation and user needs

  • This was the case with text retrieval and was widely discussed in the 1960s with the Cranfield tests leading to the establishment of an evaluation methodology (Chowdhury 2004) and the Text REtrieval Conference (TREC) which provides a selection of large collections for text-based Information Retrieval (IR) experiments (TREC 2007)

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Summary

Introduction

When searching for music, users follow a number of search strategies depending on whether they are looking for known items or unspecified items that suit certain contextual criteria. Using an inductive approach and qualitative analysis the writer plans to do investigation of information seeking needs and behaviour by questionnaire, interview, and observation; evaluate some existing systems by traditional Information Retrieval techniques; and use the results to determine whether a general MIR system would be able to satisfy the needs of music industry professionals. This reflects the Interactive Information Seeking, Retrieval and Behavioural model of Ingwersen and Järvelin (2005:261), which calls for a holistic approach to Information Seeking and Retrieval (IS&R) research. Futrelle and Downie (2002) proposed that this multidisciplinary approach is partly due to the range of possible representations of music (symbolic, audio, visual and metadata) and their complexity (the numerous facets of music such as harmony, polyphony and timbre have significant effects on MIR). Byrd and Crawford (2002) discuss how this complexity causes problems with evaluation of systems and recognise that little research has been done in the area of user needs

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