哼唱检索系统中的特征提取研究
首发时间:2011-11-11
摘要:哼唱检索系统中特征提取模块具有十分重要地位,特征选取是否具有很强的独立性、区分性和代表性,对系统检索结果影响深远。本文具体阐述了一些特征提取的算法,在此基础上提出了一种基于基频和音符的特征表述,采用人工标注的方法和DTW、EMD算法匹配对特征选取做出评价,得到基频提取和音符切分的精度,最后从整体角度对哼唱检索系进行试验,得到系统检索精度。
关键词: 哼唱检索 特征提取 基频 音符 音符切分 匹配算法 评价
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The study of feature extraction on the query by humming system
Abstract:Feature extraction module has a very important position in the query by humming system, whether feature selection is highly independent, distinguished and representative do great influence on the system retrieve performance. This paper provides details on some of the feature extraction algorithm, based on which a pitch and note feature extraction is described, it adopts the artificial tagging methods and DTW, EMD matching algorithm to make evaluation of feature selection, get the precison of the fundamental frequency extraction and note segmentation, and finally from the perspective of the overall evaluation of retrieval systems to get the system retrieval accuracy property.
Keywords: QBH feature extraction pitch note note segment maching algorithm evaluation
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