Now showing items 1-7 of 7

  • A novel approach to real-time range estimation of underwater acoustic sources using supervised machine learning 

    Houégnigan, Ludwig; Safari, Pooyan; Nadeu Camprubí, Climent; Van der Schaar, Mike Connor Roger Malcolm; André, Michel (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference lecture
    Open Access
    The proposed paper introduces a novel method for range estimation of acoustic sources, both cetaceans and industrial sources, in deep sea environments using supervised learning with neural networks in the contex of a single ...
  • Deep Learning For Sequential Pattern Recognition 

    Safari, Pooyan (Universitat Politècnica de Catalunya / Technische Universität München, 2013-12-18)
    Master thesis
    Open Access
    Covenantee:  Technische Universität München
    In recent years, deep learning has opened a new research line in pattern recognition tasks. It has been hypothesized that this kind of learning would capture more abstract patterns concealed in data. It is motivated by the ...
  • Feature classification by means of Deep Belief Networks for speaker recognition 

    Safari, Pooyan; Ghahabi, Omid; Hernando Pericás, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    In this paper, we propose to discriminatively model target and impostor spectral features using Deep Belief Networks (DBNs) for speaker recognition. In the feature level, the number of impostor samples is considerably ...
  • From features to speaker vectors by means of restricted Boltzmann machine adaptation 

    Safari, Pooyan; Ghahabi, Omid; Hernando Pericás, Francisco Javier (2016)
    Conference lecture
    Open Access
    Restricted Boltzmann Machines (RBMs) have shown success in different stages of speaker recognition systems. In this paper, we propose a novel framework to produce a vector-based representation for each speaker, which will ...
  • Machine and deep learning approaches to localization and range estimation of underwater acoustic sources 

    Houégnigan, Ludwig; Safari, Pooyan; Nadeu Camprubí, Climent; André, Michel; Van der Schaar, Mike Connor Roger Malcolm (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference lecture
    Restricted access - publisher's policy
    This paper introduces ongoing experiments and early results for the underwater localization and range estimation of acoustic sources. Beyond classical results obtained for direction of arrival estimation, results concerning ...
  • Restricted Boltzmann Machine vectors for speaker clustering 

    Khan, Umair; Safari, Pooyan; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2018)
    Conference lecture
    Open Access
    Restricted Boltzmann Machines (RBMs) have been used both in the front-end and backend of speaker verification systems. In this work, we apply RBMs as a front-end in the context of speaker clustering. Speakers' utterances ...
  • Speaker recognition by means of restricted Boltzmann machine adaptation 

    Safari, Pooyan; Ghahabi, Omid; Hernando Pericás, Francisco Javier (Universidad Autónoma de Madrid, 2016)
    Conference lecture
    Open Access
    Restricted Boltzmann Machines (RBMs) have shown success in speaker recognition. In this paper, RBMs are investigated in a framework comprising a universal model training and model adaptation. Taking advantage of RBM ...