正态分布下基于隐Markov模型的多声道MIDI音乐检索

音乐查询是信息检索领域的一个研究热点.分析了现有方法应用范围局限性和低效率的原因,讨论了用户哼唱和多声道MIDI特征序列的表达方法,提出新的基于内容的多声道MI-DI检索模型HMRM(Homophonic MIDI Retrieval Model).新模型将多声道音乐表达成一个隐Markov模型,计算哼唱对象与库中对象的相似度并排序返回查询结果.实验表明,对于不同哼唱水平的用户,HMRM的识别率平均能达到73.3%,具有较高的查准率.

Homophonic MIDIRetrievalbased on Hidden Markov Model under Normal Distribution

Music retrieval is a hot point in information retrieval field.This study analyzes the limitsof existing methods and the reasons for their low efficiency,implements the technique to represent humming and homophonic music as feature-sequences.It proposes a new content-based Homophonic Music RetrievalModel(HMRM).HMRM represents music data as Hidden Markov Model,calculates the similarity between user's humming and the objectsin database,returns the top-5 pieces to users in rank-order.Experiments show that the a...