Blind speech intelligiblility enhancement by a new dual modified predator-prey particle swarm optimization algorithm. (1st December 2018)

• Record Type: Journal Article
• Authors: Fisli, Sofiane; Djendi, Mohamed
• Is Part Of: Applied acoustics. Volume 141(2018)
• Page Start: 125
• Page End: 135
• Publication Date: 2018-12-01
• Subjects: Acoustic noise cancellation -- Particle swarm optimization -- Predator-prey PSO -- Output signal-to-noise ratio (SNR) -- System mismatch (SM); Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2018.07.006
• Languages: English
• ISSNs: 0003-682X

Abstract

Abstract: This paper addresses the problem of acoustic noise cancellation by adaptive filtering algorithms. To deal with acoustic noise reduction and speech enhancement problems, we propose to use the modified predator-prey particle swarm optimization (MPPPSO) to design a new dual adaptive noise canceller based on swarm intelligence heuristic search. The proposed dual MPPPSO algorithm improves the single-channel PPPSO algorithm convergence speed behavior when a large filter length is used. Also, the proposed algorithm leads to a low steady-state error in comparison with the single-channel PPPSO algorithm behavior which fails with large filters length and non-stationary input. The proposed dual MPPPSO algorithm shows significant improvement in the system mismatch (SM) and Output signal-to-noise ratio (SNR) values. We present the simulation results of the proposed dual MPPPSO algorithm that confirm its superiority and good performances in comparison with the single-channel PPPSO and the two-channel normalized least mean square (2C-FNLMS) algorithm.