Fundamentals of speech recognition
Fundamentals of speech recognition
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Journal of VLSI Signal Processing Systems - special issue on multimedia signal processing
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
| Hi-index | 0.00 |
While the size of multimedia database increases, the demand for efficient search for multimedia data becomes more and more urgent. Most recent works on audio classification and retrieval adopt Euclidean distance as their distance measures. However, Euclidean distance is not a perceptual distance measure for some audio features. The purpose of this work is to derive two new distance measures for content-based audio classification, which are based on reweighting and de-correlating each feature. Weighted Euclidean distance uses a diagonal matrix, which re-weighs the importance of each feature, and generalized ellipsoid distance takes further consideration on correlation between any two features. An audio database of 85 sound clips is used as our training set. The experimental results show that the generalized ellipsoid distance yields the best result and achieves an overall correction rate of classification.