Content-based audio retrieval has been the studied hotspot of multimedia retrieval.
基于内容的音频检索已成为多媒体检索技术的研究热点。
Audio data can be static or dynamic, and the audio retrieval can be at expression level or semantic level.
音频数据的存在形式有静态与动态之分，在检索层次上也有表示级检索和语义级检索之分。
This paper reviews the research works and recent advances in audio retrieval, summarize content-based audio retrieval method.
为此，基于内容的音频检索技术应运而生。
Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval.
音频特征提取是音频分类的基础，而音频分类又是基于内容的音频检索的关键。
Finally, we point out the faults of the audio retrieval, and also prospect the future development of the techniques of audio retrieval.
最后指出音频检索的不足并展望了音频检索技术的发展前景。
Due to the huge amount of audio data, and some relation among them, this paper proposes a two-stage specific audio retrieval method based on K-L Distance.
根据音频文件数据量大、数据间存在一定相关性的特点，提出一种基于K - L距离的两步固定音频检索方法。
Content-based audio music retrieval is always a difficult part of the research of musical information organization.
基于内容的音频音乐检索一直是音乐信息组织研究的难点。
This paper introduces the principle and characteristics of multimedia information retrieval and elucidates content-based multimedia retrieval technology of image, video and audio.
本文介绍了多媒体信息检索的原理与特点，着重阐述了基于内容的图像检索、视频检索和音频检索技术。
Content Based Multimedia retrieval includes the image, audio and video retrieval, among which this paper does the most research on the image retrieval.
基于内容的多媒体检索，包括图像、音频和视频等信息的检索，本文主要是对基于内容的图像检索进行了研究。
Audio information retrieval hence becomes a significant research field of modern information retrieval.
如何有效的对音频信息进行检索成为现代信息检索的一个重要的研究领域。
This paper proposes a novel cross-media retrieval approach, which can process multimedia data of different modalities and measure cross-media similarity, such as image-audio similarity.
本文介绍了多媒体信息检索的原理与特点，着重阐述了基于内容的图像检索、视频检索和音频检索技术。
With the development of digital storage technology and multimedia technology, the data storage, management, retrieval and reuse about a flood of audio and video has become a serious issue.
和灭数字亡储技巧和长媒体技巧的收铺，闭于海量的音视频资料入行亡储、管理、检索和再当用败了摆反在己们里后一个宽峻的课题。
In this paper we discuss a method for audio-based retrieval and location for AD, which USES short time average zero-passed rate and relativity-function to retrieve and locate AD from real-time audio.
本文讨论一种基于音频信号的广告条目检索和定位的一种自适应方法，它利用短时平均过零率和互相关函数从实时音频数据流中快速检测和定位广告条目。
In this paper we discuss a method for audio-based retrieval and location for AD, which USES short time average zero-passed rate and relativity-function to retrieve and locate AD from real-time audio.
本文讨论一种基于音频信号的广告条目检索和定位的一种自适应方法，它利用短时平均过零率和互相关函数从实时音频数据流中快速检测和定位广告条目。
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