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  1. The employment of Bayesian method in noise: Reduction and packet loss replacement
The employment of Bayesian method in noise: Reduction and packet loss replacement
873 viewed

The employment of Bayesian method in noise: Reduction and packet loss replacement

Rahimi, A

The employment of Bayesian method in noise: Reduction and packet loss replacement

Rahimi, A ; Sharif University of Technology | 2013

873 Viewed
  1. Type of Document: Article
  2. Publisher: 2013
  3. Abstract:
  4. Speech enhancement in real-time applications improves the quality and intelligibility of the speech and reduces communication fatigue. Nowadays, due to reactivity of the systems and spread of online real-time applications, including VoIP, state-space models have been used broadly. This paper presents a speech enhancement method based on adaptive Bayesian-Kalman filter and Bayesian-MAP estimation to improve the performance and the quality of the enhancement procedure. The enhancement method includes a combination of Bayesian-Kalman filter for noise reduction and Bayesian-MAP estimation for parameter estimation of the lost speech segments. Performance evaluation and result of the proposed method indicates the efficiency of this method compared to other method
  5. Keywords:
  6. Bayesian Kalman Filter ; Bayesian MAP Estimation ; PLC ; Speech Enhancement ; Bayesian ; Bayesian MAP ; Bayesian methods ; Real-time application ; Speech enhancement methods ; Speech segments ; State-space models ; Bayesian networks ; Estimation ; Internet telephony ; Kalman filters ; Noise abatement ; Online systems ; Programmable logic controllers ; Speech communication ; Speech intelligibility ; Speech enhancement
  7. Source: Proceedings Elmar - International Symposium Electronics in Marine ; 2013 , Pages 207-210 ; 13342630 (ISSN); 9789537044145 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6658353&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6658353