Classification of audio signals using SVM and RBFNN
Expert Systems with Applications: An International Journal
Semantic concept annotation based on audio PLSA model
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Audio segmentation in AAC domain for content analysis
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Audio signal representations for indexing in the transform domain
IEEE Transactions on Audio, Speech, and Language Processing
Classification of audio signals using AANN and GMM
Applied Soft Computing
Audio query by example using similarity measures between probability density functions of features
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on scalable audio-content analysis
Pattern classification models for classifying and indexing audio signals
Engineering Applications of Artificial Intelligence
Environmental sound classification for scene recognition using local discriminant bases and HMM
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Fusing audio vocabulary with visual features for pornographic video detection
Future Generation Computer Systems
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We focus the attention on the area of generic and automatic audio classification and segmentation for audio-based multimedia indexing and retrieval applications. In particular, we present a fuzzy approach toward hierarchic audio classification and global segmentation framework based on automatic audio analysis providing robust, bi-modal, efficient and parameter invariant classification over global audio segments. The input audio is split into segments, which are classified as speech, music, fuzzy or silent. The proposed method minimizes critical errors of misclassification by fuzzy region modeling, thus increasing the efficiency of both pure and fuzzy classification. The experimental results show that the critical errors are minimized and the proposed framework significantly increases the efficiency and the accuracy of audio-based retrieval especially in large multimedia databases.