基于子带域的音频内容特征提取

IEEE 37th Annual 2003 International Carnahan Conference onSecurity Technology, 2003. Proceedings. Pub Date : 2003-10-14 DOI:10.1109/CCST.2003.1297618

J.-R.J. Shieh

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引用次数: 2

摘要

基于内容的音频特征提取是从音频信息中获取重要信息的关键。过去几年的研究主要集中在不能直接应用于压缩音频比特流的语音识别技术上。然而，基于子带编码的MPEG-1音频层III (MP3)由于其高质量比特率比，现在对任何信道容量有限的系统都很有用。它已被广泛应用于音频点播、ISDN音乐链路和数字卫星广播中。如果音频内容可以直接在子带域上提取，则消息收集将更加容易。这里提出了几个有用的算法来说明这个想法。

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Audio content based feature extraction on subband domain

Content-based audio feature extraction is key to obtaining important message from audio information. Research in the past several years has focused on the use of speech recognition techniques that are not directly applicable to compressed audio bit stream. However, subband coding based MPEG-1 audio layer III (MP3) is now useful for any system with limited channel capacity for its high quality to bit rate ratio. It has been widely adopted in audio-on-demand, music link via ISDN and digital satellite broadcasting. Message collection is easier if audio content can be extract directly on subband domain. Several useful algorithms are proposed here to manifest this idea.

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IEEE 37th Annual 2003 International Carnahan Conference onSecurity Technology, 2003. Proceedings.

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