This paper presents a review of various speaker verification approaches in realistic world, and explore a combinational approach between Gaussian Mixture Model (GMM) and Support Vector Machine (SVM) as well as Gaussian Mixture Model (GMM) and Universal Background Model (UBM).

This paper addresses the problem of estimating, from measurement data corrupted by highly correlated noise, the shape of an unknown scalar and univariate function hidden in a known phenomenological model of the system. The method makes use of the Vapnik’s support vector regression to find the structure of a parametrized black box model of the unknown function. Then the parameters of the black b...

We build a system for the automatic detection of topic boundaries in meeting recordings. We extract a number of prosodic and lexical features from a single tabletop microphone and the human-generated transcript. We use a support vector machine trained on these features to learn the properties of topic boundaries. In a detection experiment, we see results with up to 98% correct accept rate with ...

We develop a variational inference (VI) scheme for the recently proposed Bayesian kernel support vector machine (SVM) and a stochastic version (SVI) for the linear Bayesian SVM. We compute the SVM’s posterior, paving the way to apply attractive Bayesian techniques, as we exemplify in our experiments by means of automated model selection.

Hidden Markov Models have been proved to be an efficient way for statistically modeling sequence signals. And the Support Vector Machines seem to be a promising candidate to perform the classification task. A new method combining support vector machine and hidden Markov models is proposed. The output of support vector machines are modified as posterior probability using sigmoid function, and ac...

This paper explores the use of the Support Vector Machine (SVM) as a data exploration tool and a predictive engine for spatio-temporal forecasting of snow avalanches. Based on the historical observations of avalanche activity, meteorological conditions and snowpack observations in the field, an SVM is used to build a data-driven spatio-temporal forecast for the local mountain region. It incorpo...

8th 10th Final Original • Updating the appearance parameters, c, and pose • A framework for automatic facial expression recognition combining Active Appearance Model (AAM) and Support Vector Machines (SVM) is proposed. • Seven different expressions of several subjects, representing the neutral face and the facial emotions of happiness, sadness, surprise, anger, fear, and disgust were analyzed. ...

Most computational models for gender classification use global information (the full face image) giving equal weight to the whole face area irrespective of the importance of the internal features. Here, we use a global and feature based representation of face images that includes both global and featural information. We use dimensionality reduction techniques and a support vector machine classi...

This paper presents a description of INESC-ID’s Spoken Language Systems Laboratory (LF) Language Verification systems submitted to the ALBAYZIN-2010 evaluation. The primary submission consists of the fusion of six individual subsystems: one Gaussian supervector approach with support vector machines that relies on the acoustic characteristics extracted by a front-end of shifted deltas, and five ...