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。
Content-based audio music retrieval is always a difficult part of the research of musical information organization.
这种新型的人机接口，对于在互联网上实现基于内容的音乐检索有着巨大的现实意义。
Being a new style of human machine interface, the query by humming technology has important and practical meanings to content based music retrieval online.
歌者识别是音乐检索中非常重要的一个方面，背景音乐会严重地影响歌者识别系统的性能。
Singer identification is essential in music retrieval, for the performance of singer identification system can be severely degraded by the interference of background music.
目前，商用的音乐检索系统基本都仅限于文本检索技术为主，而信息的输入则以手工为主。
All of the existing music searching systems are primarily limited to the application of Text searching technology, while the input of information still mainly depends on handwork.
该领域主要包括音乐的自动分类、分割、基于内容的音乐检索、音乐的智能创作等方面内容。
The domain primarily consists of musical classification, division, based on the content of the musical searches, musical intelligence and so on.
这一实验结果有力地表明了线性对齐匹配法的有效性，及其应用于大型数字音乐检索引擎的可行性。
This experiment result shows the validity of the "linear alignment matching" method and its feasibility of being used as the query engine in large digital music libraries.
该格式适用于17世纪以来常见的西方音乐符号，是符号、分析、检索和演奏应用程序之间的交换格式。
The format is suitable for common western musical notation from the 17th century onwards, and is designed as an interchange format for notation, analysis, retrieval, and performance applications.
7标准提供了工具，以互操作和可扩展的方式来模型化这些数据。因此，可以采用MPEG - 7作为基于内容的音乐信息检索系统的框架。
The MPEG-7 standard provides tools to model these data in interoperable and extensible way, and therefore can be used as framework to build content based music information retrieval systems.
日本研究人员近期开发了一种根据声音、颜色检索音乐、照片或动画的网络搜索引擎。
Japanese researchers have recently developed a new search engine with which you can browse your way "visually and audibly" through the Internet for music, images and flash files.
这些系统难以对飞速产生的音乐资料进行及时有效地索引和检索。
It is difficult for these systems to effectively index and search the rapidly increasing music materials.
主要介绍建立音乐数字图书馆原型中的三项关键技术，即乐曲数字化、乐曲和音乐的检索和网上传播。
The paper presents prototype of digitized music library, in which three key technologies are adopted of the digital, the retrieval and the availability of music on Internet.
随着音乐媒体信息的持续增长，在海量音乐数据库中检索变得越来越困难，这种趋势对音乐信息检索提出了更高的要求。
With the rapid growth of music information on internet, it's very hard for users to retrieval information from large scale music database.
后台维护可以添加明星专辑、编号、歌曲名、音乐路径等常规项；前台点歌可以按明星检索数据，快速找到歌曲。
Background maintenance can add a star album, number, song name, music paths and other conventional items foreground star song can be to retrieve data, quickly find songs.
自适应多媒体检索：确定，总结，并提出图像和音乐：第6届国际研讨会，AMR的2008年，柏林，德国，6月26 - 27日，2008年。
Adaptive Multimedia Retrieval: Identifying, Summarizing, And Recommending Image And Music: 6th International Workshop, AMR 2008, Berlin, Germany, June 26-27, 2008.
本文针对上述音乐索引和检索技术中出现的新特点，提出了采用基于内容的音乐情感分类检索技术。
For the above-mentioned new characters of music indexing and searching technologies, a music mood classification searching technology based on content is put forward in this paper.
音乐是一类重要的音频数据，传统的音乐信息检索都是基于元数据的检索，使用受限。
The traditional music information retrieval system is almost based on metadata, and the use is limited.
提出一种新型的音乐信息检索索引方法，并将其应用于哼唱检索系统上，获得可喜的成果。
A new indexing method for content-based music information retrieval is presented, and it is implemented on a Query By Humming (QBH) system.
音乐信号的音色分析和相似计算是计算机音乐信息检索系统的重要研究内容之一。
The traditional music information retrieval system is almost based on metadata, and the use is limited.
音乐是一类重要的音频数据，传统的音乐信息检索都是基于元数据的检索，使用受限。
Music timbre analysis and similarity computation are two of the most important research directions in Music Information Retrieval field.
音乐信号的音色分析和相似计算是计算机音乐信息检索系统的重要研究内容之一。
The work of the first part of this article is based on the framework forapproaching the music signal.
语音分析技术还可以分析音频、视频中的文字信息，从而实现对音视频文件的快速检索，因此在互联网音乐、视频搜索中也将发挥着重要的作用。
Voice analysis technology can also be find the text info in audio, video files. so it will play an important role in music and video searching on Internet.
语音分析技术还可以分析音频、视频中的文字信息，从而实现对音视频文件的快速检索，因此在互联网音乐、视频搜索中也将发挥着重要的作用。
Voice analysis technology can also be find the text info in audio, video files. so it will play an important role in music and video searching on Internet.
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