计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (31): 199-201.DOI: 10.3778/j.issn.1002-8331.2010.31.055

• 图形、图像、模式识别 • 上一篇    下一篇

基于矢量量化的弦乐颤音自动检测

孙荣坤,韩纪庆   

  1. 哈尔滨工业大学 计算机科学与技术学院,哈尔滨 150001
  • 收稿日期:2009-03-08 修回日期:2009-05-11 出版日期:2010-11-01 发布日期:2010-11-01
  • 通讯作者: 孙荣坤

Automatic string music vibrato detection based on vector quantization

SUN Rong-kun,HAN Ji-qing   

  1. School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Received:2009-03-08 Revised:2009-05-11 Online:2010-11-01 Published:2010-11-01
  • Contact: SUN Rong-kun

摘要: 自动音乐标注是音频信息检索的基础,并可广泛应用于辅助音乐教学、辅助音乐创作等许多音乐相关领域。然而,在弦乐器演奏的音乐中存在着大量用于修饰或表现乐曲情感、风格的颤音。在对这类乐器的自动音乐标注中,如果不进行颤音检测而直接进行标注容易出现错误。对基于矢量量化的弦乐颤音识别方法进行了研究,提出了一种用于对整段音乐进行颤音检测的方法。实验证明这种方法是精确有效的。

关键词: 音乐标注, 颤音, 弦乐, 矢量量化

Abstract: Music transcription is one of the foundations of audio information retrieval,and it can be used in the areas of music education and music composing.However,in some string music,there is a sound effect called “vibrato” which can express the emotion and the style.If that sound effect is not treated seriously in music transcription,it will lead to a wrong result.A method to recognize the vibrato of string music based on vector quantization is studied in detail,and a method to detect the vibrato in a consecutive music is put forward.Experimental results demonstrate that the method is fairly efficient for solving the automatic string music vibrato detection problem.

Key words: music transcription, vibrato, string music, vector quantization

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