Non-linguistic vocalisation recognition based on hybrid GMM-SVM approach

@inproceedings{Janicki2013NonlinguisticVR,
  title={Non-linguistic vocalisation recognition based on hybrid GMM-SVM approach},
  author={Artur Janicki},
  booktitle={INTERSPEECH},
  year={2013}
}
This paper describes an algorithm for detection of nonlinguistic vocalisations, such as laughter or fillers, based on acoustic features. The algorithm proposed combines the benefits of Gaussian mixture models (GMM) and the advantages of support vector machines (SVMs). Three GMMs were trained for garbage, laughter, and fillers, and then an SVM model was trained in the GMM score space. Various experiments were run to tune the parameters of the proposed algorithm, using the data sets originating… CONTINUE READING

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