Enviaments recents

  • Filtering the time sequences of spectral parameters for speech recognition 

    Nadeu Camprubí, Climent; Paches, Pau; Biing-Hwang, Juang (1997-09)
    Article
    Accés restringit per política de l'editorial
    In automatic speech recognition, the signal is usually represented by a set of time sequences of spectral parameters (TSSPs) that model the temporal evolution of the spectral envelope frame-to-frame. Those sequences are ...
  • Speech recognition in a noisy car environment based on LP of the one-sided autocorrelation sequence and robust similarity measuring techniques 

    Hernando Pericás, Francisco Javier; Nadeu Camprubí, Climent; Mariño Acebal, José Bernardo (1997-02)
    Article
    Accés restringit per política de l'editorial
    The performance of the existing speech recognition systems degrades rapidly in the presence of background noise. A novel representation of the speech signal, which is based on Linear Prediction of the One-Sided Autocorrelation ...
  • Adaptive blind system identification using weighted cumulant slices 

    Vidal Manzano, José; Rodríguez Fonollosa, José Adrián (1996-03)
    Article
    Accés restringit per política de l'editorial
    Many linear methods have been proposed in the literature to blindly estimate the ARMA parameters of a time series using HOS. Nevertheless, they are mainly off-line and not much has been done in the adaptive case. The method ...
  • Automatic speech recognition with deep neural networks for impaired speech 

    España-i-Bonet, Cristina; Rodríguez Fonollosa, José Adrián (2016-11-23)
    Article
    Accés restringit per política de l'editorial
    Automatic Speech Recognition has reached almost human performance in some controlled scenarios. However, recognition of impaired speech is a difficult task for two main reasons: data is (i) scarce and (ii) heterogeneous. ...
  • Sample cumulants of stationary processes: asymptotic results 

    Rodríguez Fonollosa, José Adrián (1995-04)
    Article
    Accés obert
    In this paper, we present the formulas of the covariances of the second-, third-, and fourth-order sample cumulants of stationary processes. These expressions are then used to obtain the analytic performance of FIR system ...
  • The self organizing map of neighbour stars and its kinematical interpretation 

    Hernández Pajares, Manuel; Cubarsí Morera, Rafael; Monte Moreno, Enrique (1993-02)
    Article
    Accés obert
    The Self-Organizing Map (SOM) is a neural network algorithm that has the special property ofcreating spatially organized tepresetüatioes of various features of input signals. The resulting maps resemble realneural structures ...
  • Desarrollo de corpus para investigacion en tecnologias del habla 

    Casacuberta, F; Garcia, R; Llisterri, J; Nadeu Camprubí, Climent; Pardo, J M; Rubio, A. (1992-07)
    Article
    Accés obert
  • The strategic impact of META-NET on the regional, national and international level 

    Ananiadou, Sophia; Branco, Antonio; Hajic, Jan; Hernáez, Inma; Mariani, Joseph; McNaught, John; Monachini, Monica; Moreno Bilbao, M. Asunción; Odijk, Jan; Piperidis, Stelios; Rosner, Mike; Skadina, Inguna; Tadic, Marko; Thompson, Paul; Tufis, Dan; Melero, Maite (2016-06-01)
    Article
    Accés restringit per política de l'editorial
    This article provides an overview of the dissemination work carried out in META-NET from 2010 until 2015; we describe its impact on the regional, national and international level, mainly with regard to politics and the ...
  • Simplied gradient calculation in iir lattice adaptive filters 

    Rodríguez Fonollosa, José Adrián; Masgrau Gómez, Enrique José (1991-07)
    Article
    Accés obert
    A simplified algorithm is presented for computing the gradient in adaptive IIR (infinite impulse response) lattice filters. For a filter with N zeros and N poles, this algorithm requires only order N computations. Several ...
  • A data-driven approach to construct survey-based indicators by means of evolutionary algorithms 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-11-09)
    Article
    Accés restringit per política de l'editorial
    In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...

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