摘要作为基于内容音乐检索的一个分支，基于旋律哼唱的音乐检索是一种涉及音乐理论、信号处理、模式识别等相关领域的综合学科研究，在网络音乐共享以及生活娱乐方面都具有非常重要的意义。
随着网络技术和多媒体技术的迅速发展，大量的多媒体信息都可以从网上获得。其中，音频作为多媒体中的一种重要媒体，其数据量也在迅速增长。因此，如何方便快捷的找到想要的音乐已经成为了一个突出的问题。而利用旋律哼唱进行检索显然是一种非常理想的方法，在近年来也引起了众多研究者的兴趣。
    (1)通过对音乐信号基本理论的研究，提出了利用音高差和音长比表现音乐旋律的方法。与仅利用音高差对旋律特征进行表达的传统方法相比，该方法对旋律的变化特征进行了更好的描述，因此准确性也更高。
    (2)总结了从MIDI文件中提取音符音高和音长等音乐旋律特征的优点，确定MIDI格式作为数据库音乐的文件存储格式，并实现了在MIDI文件中确定主旋律的算法。
    (3)提出了在哼唱音乐片段处理过程中，信号预处理、基音提取、特征后处理、音符切分等相关步骤的具体实现方法。同时考虑了人们的哼唱习惯和实际处理中碰到的问题，使得对哼唱音乐的处理更加准确。
    (4)提出了基于校正距离矩阵的特征匹配算法，计算了哼唱音乐与数据库音乐音高差和音长比的相关度，并将结果排序后返回给用户。
    (5)分析了实验中对结果产生影响的各种因素，总结了系统的优点和缺点，并在实验环境、检索时间和命中率等方面与其它算法进行了比较。
    哼唱音乐检索系统的研究具有广泛的理论研究价值和实际应用价值。人们希望计算机能够理解音乐，因此本文的工作是在该领域的一次有益探索。
关键词 音乐旋律检索 基音提取 特征表达 匹配检索 基音提取5372
毕业设计说明书（论文）外文摘要
Title    Melody-based music retrieval   
Abstract
As one branch of the study of content-based musical retrieval, the query-by-humming technique touches musical methodology, signal processing and pattern recognition. And this
technique plays a significant role in network music sharing and daily amusement.
    With the fast development of network and multimedia technology, an increasing largeamount of multimedia information is available on the Internet. As an important part ofmultimedia information, the amount of audio data increased dramatically as well. Thus, how to easily and rapidly find out the audio information that we want has become problems needed to be solved. In recent years, the query-by-humming technique is adopted by many researchers as an ideal means to solve the above problems.
    (1) According to the research on the musical signals analyzing theory, a method using the pitch difference and the note duration ratio to describe the musical melody features is presented. Comparing with the traditional method using pitch difference only, the method in this paper describes the melody features better. So, the result we get can be more accurate.
    (2) Based on summarizing of the advantages in extracting musical melody features from MIDI files, we confirm MIDI to be the database file format and present the algorithm to find out the main melody from the MIDI files.
    (3) Some new algorithms and implementing steps about humming music processing are described in details, which include the signal pre-processing, pitch extraction, features post-processing, note segmentation, etc. Meanwhile, these new algorithms take people's humming habits and the problem which will come up in the processing into account. So the result of humming music processing can be more accurate. 基于旋律的音乐检索系统设计与实现:http://www.youerw.com/tongxin/lunwen_2379.html