Datasets and Evaluation

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    5 Citations (Scopus)


    Developing computational systems requires methods for evaluating their performance to guide development and compare alternate approaches. A reliable evaluation procedure for a classification or recognition system will involve a standard dataset of example input data along with the intended target output, and well-defined metrics to compare the systems' outputs with this ground truth. This chapter examines the important factors in the design and construction of evaluation datasets and goes through the metrics commonly used in system evaluation, comparing their properties. We include a survey of currently available datasets for environmental sound scene and event recognition and conclude with advice for designing evaluation protocols.
    Original languageEnglish
    Title of host publicationComputational Analysis of Sound Scenes and Events
    EditorsTuomas Virtanen, Mark D. Plumbley, Dan Ellis
    Place of PublicationCham
    Number of pages33
    ISBN (Electronic)978-3-319-63450-0
    ISBN (Print)978-3-319-63449-4
    Publication statusPublished - 2018
    Publication typeA3 Book chapter

    Publication forum classification

    • Publication forum level 2


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