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|Title:||THE INFINITE GAUSSIAN MODELS: AN APPLICATION TO SPEAKER IDENTIFICATION|
TALEB AHMED, Abdelmalik
|Keywords:||Speaker Identification, Infinite GMM, SVM, Dirichlet Process, Gibbs Sampling|
|Abstract:||When modeling speech with traditional Gaussian Mixture Models (GMM) a major problem is that one need to fix a priori the number of GMMs. Using the infinite version of GMMs allows to overcome this problem. This is based on considering a Dirichlet process with a Bayesian inference via Gibbs sampling rather than the traditional EM inference. The paper investigates the usefulness of the infinite Gaussian modeling using the state of the art SVM classifiers.|
|Appears in Collections:||CS N 12|
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