{"title":"CASIA: A fast audio indexing and retrieval: Application of CASIT method to audio documents","authors":"L. Guezouli, H. Essafi, Amine Ouddan, L. Guezouli","doi":"10.1109/ICITES.2013.6624069","DOIUrl":null,"url":null,"abstract":"This paper propose a based CASIT [5] audio retrieval model. CASIT method is developed for our text information retrieval system witch gives good results. We have extended the CASIT method to the video and audio applications. In this paper we present its application in the audio content-based retrieval. The adapted method is called CASIA (in French: CAlcul de la SImilarité Audio). CASIA identify subsequence of audio using basic audio descriptors. Each audio document is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. Therefore an audio signal is represented by a characteristic sequence called in this paper \"sequence fingerprint\".","PeriodicalId":385126,"journal":{"name":"2013 3rd International Conference on Information Technology and e-Services (ICITeS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd International Conference on Information Technology and e-Services (ICITeS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITES.2013.6624069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper propose a based CASIT [5] audio retrieval model. CASIT method is developed for our text information retrieval system witch gives good results. We have extended the CASIT method to the video and audio applications. In this paper we present its application in the audio content-based retrieval. The adapted method is called CASIA (in French: CAlcul de la SImilarité Audio). CASIA identify subsequence of audio using basic audio descriptors. Each audio document is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. Therefore an audio signal is represented by a characteristic sequence called in this paper "sequence fingerprint".
本文提出了一种基于CASIT[5]的音频检索模型。针对我们的文本信息检索系统，开发了CASIT方法，取得了良好的效果。我们将CASIT方法扩展到视频和音频应用中。本文介绍了它在基于内容的音频检索中的应用。这种改编的方法被称为CASIA(法语:CAlcul de la similarit Audio)。CASIA使用基本音频描述符识别音频的子序列。对每个音频文档进行预处理，然后提取一组基本的音频描述符，这些描述符表征了音频的时间和频谱信息。因此，音频信号用一个特征序列来表示，本文称之为“序列指纹”。
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