DocumentCode :
230729
Title :
Audio retrieval based on perceptual similarity
Author :
Teng Zhang ; Ji Wu ; Dingding Wang ; Tao Li
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
342
Lastpage :
348
Abstract :
Given a short query audio clip, the goal of audio retrieval is to automatically fetch all similar clips from a given audio database. Different from traditional audio similarity which is mainly based on priori knowledge of objective reality, this paper proposes to use a more subjective method to measure the perceptual similarity between audio clips. These perceptual features focus on users´ personal experience, which can be very helpful for audio retrieval across different databases. In addition, indexing and audio matching methods are introduced to speed up the retrieval process. Experimental results on four different datasets are conducted to evaluate the effectiveness and efficiency of our proposed approaches..
Keywords :
audio databases; audio signal processing; content-based retrieval; indexing; audio database; audio matching method; audio retrieval; audio similarity; indexing method; perceptual similarity; query audio clip; subjective method; user personal experience; Mel frequency cepstral coefficient; Radio frequency; audio retrieval; perceptual similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2014 International Conference on
Conference_Location :
Miami, FL
Type :
conf
Filename :
7014580
Link To Document :
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