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Communication Dans Un Congrès Année : 2006

Errors-In-Variables based identification of autoregressive parameters for speech enhancement using one microphone

William Bobillet
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  • PersonId : 842112
Roberto Diversi
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  • PersonId : 842121
Roberto Guidorzi
  • Fonction : Auteur
  • PersonId : 842120
Umberto Soverini
  • Fonction : Auteur
  • PersonId : 842122

Résumé

Parametric approaches based on a priori models of the speech are often used in the framework of speech enhancement using a single microphone. When the speech is modeled by means of a stationary autoregressive (AR) process, a frameby- frame approach is usually considered. However, it requires the unbiased estimations of the autoregressive parameters and of the noise variances for the subsequent implementation of a filter (Kalman, Hinf, etc.). The purpose of this paper is twofold. Firstly, we propose to view the AR parameter estimation as an errors-in-variables issue. Secondly, we implement an optimal smoothing procedure based on a constrained minimum variance estimation of the signal. Then, we test the procedure based on both steps in the field of speech enhancement.
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Dates et versions

hal-00167721 , version 1 (22-08-2007)

Identifiants

  • HAL Id : hal-00167721 , version 1

Citer

William Bobillet, Eric Grivel, Mohamed Najim, Roberto Diversi, Roberto Guidorzi, et al.. Errors-In-Variables based identification of autoregressive parameters for speech enhancement using one microphone. ISCCSP (International Symposium on Communications, Control and Signal Processing), 2006, Marrakech, Morocco. pp. ⟨hal-00167721⟩
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