基于语句特征的音乐哼唱快速检索技术

Rapid Retrieval Technology of Query by Humming Based on Sentence Features

哼唱检索作为音乐检索的重要方式,由于其有效性和方便性,引起了广泛的关注.本文提出了一种新的基于语句特征的音乐哼唱快速检索技术,可以实现哼唱音乐的快速检索.该技术将音乐数据库和用户提供的哼唱片段,按自然停顿方式划分音乐语句,使用BDTW算法对音乐语句片段进行音高相似性计算,并允许用户根据自己哼唱情况,对匹配条件进行个性化设置,限制数据库音乐片段和查询序列的局部最大差异长度.另外,对音乐库建立支持音乐语句查询的索引结构DIS,减少了检索时间.实验结果表明所提出的检索方法能够快速有效地返回查询结果.

As an important way of music retrieval,query by humming has gained wide attention because of its effectiveness and convenience. A novel retrieval technology of humming was proposed based on sentence features,which could provide fast retrieval for query by humming. In the proposed technology,the music database and humming given by users were first partitioned according to natural pauses,and then the BDTW（ bounded dynamic time warping） algorithm was adopted to compute pitch similarity. In addition,users can also establish personalized settings in accordance with their own humming,and limit the maximum local length variance between music database fragments and query sequences. In addition,the index structure DIS was established to support music sentence query,which could reduce searching time. The experimental results verified both the efficiency and effectiveness of the proposed retrieval method.