天津工业大学学报Issue(1)：50-54,5.
一种基于MFCC与PCP联合特征的和弦识别方法
A chord recognition method based on joint feature of MFCC and PCP
摘要
Abstract
Combined with music and signal process theory, the paper proposes a new chord recognition approach which utilizes the MFCC (Mel Frequency Cepstral Coefficent) reflecting auditory perception properties jointly with the traditional PCP (Pitch Class Profile) as the combined feature and SRC (Sparse Representation classification) to improve the recognition rate. The experimental results show that the recognition rata of the new method is much better in average than that of the traditional methods.关键词
和弦识别/MFCC/PCP/MFCC+PCP/稀疏表示分类器Key words
chord recognition/MFCC/PCP/MFCC+PCP/sparse representation classification分类
信息技术与安全科学引用本文复制引用
李锵,秦媛媛..一种基于MFCC与PCP联合特征的和弦识别方法[J].天津工业大学学报,2015,(1):50-54,5.基金项目
国家自然科学基金项目（61471263，61101225，60802049）；天津大学自主创新基金 （）
