標題: Content-based audio retrieval based on Gabor wavelet filtering
作者: Lin, RS
Chen, LH
資訊工程學系
Department of Computer Science
關鍵字: spectrogram;audio content-based retrieval;Gabor wavelets;singular value decomposition
公開日期: 1-九月-2005
摘要: Rapid increase in the amount of audio data and especially music collections demand an efficient method to automatically retrieve audio objects based on its content. In this paper, based on the Gabor wavelet features, we will propose a method for content-based retrieval of perceptually similar music pieces in audio documents. It allows the user to select a reference passage within an audio file and retrieve perceptually similar passages such as repeating phrases within a music piece, similar music clips in a database or one song sung by different persons or in different languages. The proposed method will first divide an audio stream into clips, each of which contains one-second audio information. Then, the frame-based features of each clip are extracted based on the Gabor wavelet filters. Finally,, a similarity measuring technique is provided to perform pattern matching on the resulting sequences of feature vectors. Experimental results show that the proposed method can achieve over 96% accuracy rate for audio retrieval.
URI: http://dx.doi.org/10.1142/S0218001405004290
http://hdl.handle.net/11536/13338
ISSN: 0218-0014
DOI: 10.1142/S0218001405004290
期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume: 19
Issue: 6
起始頁: 823
結束頁: 837
顯示於類別:期刊論文


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