Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Fundamentals of speech recognition
Fundamentals of speech recognition
Boosting to correct inductive bias in text classification
Proceedings of the eleventh international conference on Information and knowledge management
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Content-based audio classification and retrieval by support vector machines
IEEE Transactions on Neural Networks
Acoustic Event Detection: SVM-Based System and Evaluation Setup in CLEAR'07
Multimodal Technologies for Perception of Humans
TUT Acoustic Event Detection System 2007
Multimodal Technologies for Perception of Humans
Speech Emotion Recognition System Based on BP Neural Network in Matlab Environment
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Integration of audiovisual sensors and technologies in a smart room
Personal and Ubiquitous Computing
Semantic analysis of real-world images using support vector machine
Expert Systems with Applications: An International Journal
Acoustic event detection in meeting-room environments
Pattern Recognition Letters
Speech emotion recognition research based on wavelet neural network for robot pet
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
A Comparison of Spectro-Temporal Representations of Audio Signals
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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Acoustic events produced in controlled environments may carry information useful for perceptually aware interfaces. In this paper we focus on the problem of classifying 16 types of meeting-room acoustic events. First of all, we have defined the events and gathered a sound database. Then, several classifiers based on support vector machines (SVM) are developed using confusion matrix based clustering schemes to deal with the multi-class problem. Also, several sets of acoustic features are defined and used in the classification tests. In the experiments, the developed SVM-based classifiers are compared with an already reported binary tree scheme and with their correlative Gaussian mixture model (GMM) classifiers. The best results are obtained with a tree SVM-based classifier that may use a different feature set at each node. With it, a 31.5% relative average error reduction is obtained with respect to the best result from a conventional binary tree scheme.