哼唱音乐一般是一种波形文件,这样的格式并不利于检索和查找。在使用哼唱音乐检索音乐内容时,需要将哼唱文件转换为音高和时值的形式,作为检索关键字。这些步骤都建立在哼唱已经被按音符切分的基础上。论文采用一种基于振幅能量的多层次音符切分方法,实现对哼唱文件的快速切分。基于能量的划分方法具有简便快速的特点。分层次的划分方法能够针对各种不同音符情况,采用最合适的方法切分。论文还讨论了一种基于音高识别技术的音符划分方法。Humming music is commonly a wave file,whose format is not conducive to be searched and found.When retrieving musical content by Humming music,humming documents need to be transformed to the format of pitch and time value,as the search keyword.These steps are built on that the singing has been cut by note basis points.This paper presents a multi-level note segmentation methods based on the amplitude of the energy,achieving rapid humming file segmentation.Energy-based partition method is characterized for simplicity and rapidity.Hierarchical classification approach can adopt the most appropriate method of segmentation due to the situation for a variety of different notes.This paper also discusses a note division method based on pitch recognition technology
