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Mitrovic, D., Zeppelzauer, M., & Breiteneder, C. (2010). Features for Content-Based Audio Retrieval. In Advances in Computers Volume 78 Improving the Web (pp. 71–150). Elsevier. http://hdl.handle.net/20.500.12708/26827
E193-02 - Forschungsbereich Computer Graphics E193-06 - Forschungsbereich Interactive Media Systems
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Published in:
Advances in Computers Volume 78 Improving the Web
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Date (published):
2010
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Number of Pages:
80
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Peer reviewed:
Yes
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Keywords:
content-based audio retrieval; content-based audio features
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Abstract:
Today, a large number of audio features exists in audio retrieval for ifferent purposes, such as automatic speech recognition, music information retrieval, audio segmentation, and environmental sound retrieval. The goal of this paper is to review latest research in the context of audio feature extraction and to give an application-independent overview of the most important existing techniques. We ...
Today, a large number of audio features exists in audio retrieval for ifferent purposes, such as automatic speech recognition, music information retrieval, audio segmentation, and environmental sound retrieval. The goal of this paper is to review latest research in the context of audio feature extraction and to give an application-independent overview of the most important existing techniques. We survey state-of-the-art features from various domains and propose a novel taxonomy for the organization of audio features. Additionally, we identify the building blocks of audio features and propose a scheme that allows for the description of arbitrary features. We present an extensive literature survey and provide more than 150 references to relevant high quality publications.
en
Research Areas:
Visual Computing and Human-Centered Technology: 100%
