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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第31期199-201,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.60672163~~
关键词
音乐标注
颤音
弦乐
矢量量化
music transcription
vibrato
string music
vector quantization
