| Paper: | MSP-P2.3 | ||
| Session: | Multimedia Systems and Applications | ||
| Time: | Friday, May 21, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Multimedia Signal Processing: Multimedia Database | ||
| Title: | CONTENT-BASED RETRIEVAL OF MP3 SONGS BASED ON QUERY BY SINGING | ||
| Authors: | Wen-Nung Lie; National Chung Cheng University | ||
| Chen-Kang Su; National Chung Cheng University | |||
| Abstract: | With the growing of multimedia in Internet, content analysis of multimedia plays an important role for humanistic management. In this paper, we investigate the content-based retrieval of MP3 songs based on the interface of query by singing. In our method, the MDCT spectral coefficients were directly used to represent the tonic characteristic of a short-term sound. This spectral profile is used for detailed matching between two audio segments. Perceptual features were also computed from MDCT coefficients for audio classification. Two pre-stages based on SVM and k-means classifications were used to remove incorrect (or noisy) segment candidates and speed up following matching process. On the other hand, the schemes of exponential key-scaling and time-warping techniques were developed to overcome key difference and tempo variation between different singers. Experiments show that the retrieving probability of our design can achieve up to 76 % among the top 5 out of a total of 114 excerpts in the database. | ||
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