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    • A non-linear VAD for noisy environments 

      Solé-Casals, Jordi; Zaiats, Vladimir (2010)
      This paper deals with non-linear transformations for improving the performance of an entropy-based voice activity detector (VAD). The idea to use a non-linear transformation has already been applied ...
    • A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers 

      Comas, C.; Monte-Moreno, Enric; Solé-Casals, Jordi (2005)
      In this paper we propose an endpoint detection system based on the use of several features extracted from each speech frame, followed by a robust classifier (i.e Adaboost and Bagging of decision trees, ...
    • Application of the Mutual Information Minimization to speaker recognition / identification improvement 

      Solé-Casals, Jordi; Faundez-Zanuy, Marcos (2006)
      In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying ...
    • Detection of severe obstructive sleep apnea through voice analysis 

      Solé-Casals, Jordi; Munteanu, C.; Martin, O.C.; Barbé, F.; Queipo, C.; Amilibia, J.; Durán-Cantolla, J. (2014)
      tThis paper deals with the potential and limitations of using voice and speech processing to detect Obstruc-tive Sleep Apnea (OSA). An extensive body of voice features has been extracted from patients ...
    • Maximum likelihood Linear Programming Data Fusion for Speaker Recognition 

      Monte-Moreno, Enric; Chetouani, Mohamed; Faundez-Zanuy, Marcos; Solé-Casals, Jordi (2009)
      Biometric system performance can be improved by means of data fusion. Several kinds of information can be fused in order to obtain a more accurate classification (identification or verification) of ...
    • Speaker recognition improvement using blind inversion of distortions 

      Faundez-Zanuy, Marcos; Solé-Casals, Jordi (2004)
      In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying ...
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