[1]LI Ying.An audio data retrieval method based on local search trees[J].CAAI Transactions on Intelligent Systems,2008,3(3):259-264.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 3
Page number:
259-264
Column:
学术论文—自然语言处理与理解
Public date:
2008-06-25
- Title:
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An audio data retrieval method based on local search trees
- Author(s):
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LI Ying
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College of Mathematics and Computer Science; Fuzhou University; Fuzhou 350108; China
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- Keywords:
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audio data retrieval; local search tree(LS-kdtree); wavelet packet best base; pyramidal algorithm
- CLC:
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TP391.3;TP311.12
- DOI:
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- Abstract:
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For fast audio data retrieval, a local search tree (LS2kd tree) structure is p roposed according to the char2 acteristics of multimedia audio data. In an LS2kd tree, the zero2kd crossing rate and the average magnitude of the wavelet transform coefficients in the audio data are taken as main and secondary key codes respectively, and the other coefficients used for the index are organized in the local range. On the basis of thisLS2kd tree, an audio data retrieval app roach is p resented using the wavelet packet best base and the wavelet pyramidal algorithm. Finally, the research results obtained from the p roposed app roach are compared with those obtained using the different2kd level wavelet transform coefficients. It is found that the p roposed app roach is effective and fast for audio data retrieval