Content-based retrieval of MP3 songs based on query by singing
Wen‐Nung Lie, Chen-Kang Su · 2004
With the growth of multimedia in the Internet, content analysis of multimedia plays an important role for humanistic management. We investigate the content-based retrieval of MP3 songs based on the interface of query by singing. MDCT (modified DCT) spectral coefficients are directly used to represent the tonic characteristics of a short-term sound. This spectral profile is used for detailed matching between two audio segments. Perceptual features are also computed from MDCT coefficients for audio classification. Two pre-stages based on SVM and k-means classifications are used to remove incorrect (or noisy) segment candidates and to speed up the subsequent matching process. On the other hand, exponential key-scaling schemes and time-warping techniques are developed to overcome key difference and tempo variation between different singers. Experiments show that the retrieval probability of our design can achieve up to 76% among the top 5 out of a total of 114 excerpts in the database.