Cover Song Identification in AAC Compression Domain

• Main Authors: Chia-Bin Hsieh, 謝佳斌
• Other Authors: Pao-Chi Chang
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/16305055932272234793

碩士 === 國立中央大學 === 通訊工程研究所 === 100 === With the rapid development of multimedia compression technology and Internet in recent years, users can easily download or share any kind of videos or music from networks. However, the downloaded contents may be copyrighted. In this work, we propose a system which can automatically identify cover version songs in AAC compression domain. Our goal is to fast retrieve the original version songs in a large coded database. From the commercial perspective, it is important to detect cover songs for musical copyrights’ management and licenses. Besides, it is interesting and useful to find out all versions for a particular song. In our proposed system, the modified discrete cosine transform (MDCT) spectral coefficients are directly used to represent 12-dimensional chroma feature without a fully decoding process. In addition, we utilize segmentation to reduce time dimension in feature space for promoting the matching efficiency. Our overall system can save a lot of computation complexity and reach approximately 60% accuracy in Top-1. In practical applications, our system provides a good solution for retrieval system with large amount of coded multimedia files.