Visualizing music and audio using self-similarity
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A robust audio classification and segmentation method
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Content-based audio classification and retrieval by support vector machines
IEEE Transactions on Neural Networks
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This paper presents an audio classification system that provides improved accuracy, robustness and flexibility over reported content-based audio classification methods. The system reads an input audio file, performs segmentation and classification of the composite sounds contained within the file and, for each sound clip, determines the most plausible matching class of audio in the database. Improvements in the accuracy of audio classification are largely due to the partitioning of the input audio file into homogeneous segments while the incorporation of new class detection offers greater flexibility of use.