Two-channel variable-step-size forward-and-backward adaptive algorithms for acoustic noise reduction and speech enhancement

Bendoumia, Rédha; Djendi, Mohamed

doi:10.1016/j.sigpro.2014.08.035

Cited by 33 publications

(13 citation statements)

References 27 publications

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“…In this section, we present the forward blind source separation (BSS) structure and we give its full formulation and optimal solutions in the time-domain. This structure is intensively used in acoustic noise cancellation [10,[16][17][18][19]. The two-channel forward BSS structure is presented in Figure 2.At the output of this structure, the…”

Section: Ii2 Two-channel Forward Structurementioning

confidence: 99%

Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

Bendoumia

2019

AJRESD

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Recently, the acoustic noise reduction problem is treated by twochannel forward blind source separation (BSS) techniques combined with normalized least mean square algorithm (T-FNLMS). The TFNLMS algorithm shows good performances in two-channel convolutive dispersive mixture. In this paper, we propose new BSS structure based on the two-channel sparse normalized least mean square algorithm (TS-NLMS). The TS-NLMS algorithm is proposed exactly when the convolutive mixing system is characterized by sparse impulse responses. To confirm the good performance of this proposed algorithm, intensive experiments are done in acoustic noise reduction.

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Section: Ii2 Two-channel Forward Structurementioning

confidence: 99%

Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

Bendoumia

2019

AJRESD

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“…11,56,57 To assess the performance of the proposed algorithm in objective criteria with a real-life database, we have evaluated the SegSNR, the CD, and the time convergence criteria of each of the adaptive and nonadaptive algorithms of Table 5. 11,56,57 To assess the performance of the proposed algorithm in objective criteria with a real-life database, we have evaluated the SegSNR, the CD, and the time convergence criteria of each of the adaptive and nonadaptive algorithms of Table 5.…”

Section: Assessment Of the Proposed Tm-gspap Algorithm With Real-limentioning

confidence: 99%

“…We have also noted that residual noise components still remaining at the output; this means that this noise is incoherent (diffuse noise components) and cannot be processed by the proposed algorithm. 11,56,57 To assess the performance of the proposed algorithm in objective criteria with a real-life database, we have evaluated the SegSNR, the CD, and the time convergence criteria of each of the adaptive and nonadaptive algorithms of Table 5. The obtained results of each algorithm are summarized in Table 11 and Figure 23.…”

Section: Assessment Of the Proposed Tm-gspap Algorithm With Real-limentioning

confidence: 99%

A new two‐microphone Gauss‐Seidel pseudo affine projection algorithm for speech quality enhancement

Djendi

2017

Adaptive Control & Signal

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This study addresses the problem of speech quality enhancement by adaptive and nonadaptive filtering algorithms. The well-known two-microphone forward blind source separation (TM-FBSS) structure has been largely studied in the literature. Several two-microphone algorithms combined with TM-FBSS have been recently proposed. In this study, we propose 2 contributions: In the first, a new two-microphone Gauss-Seidel pseudo affine projection (TM-GSPAP) algorithm is combined with TM-FBSS. In the second, we propose to use the new TM-GSPAP algorithm in speech enhancement. Furthermore, we show the efficiency of the proposed TM-GSPAP algorithm in speech enhancement when highly noisy observations are available. To validate the good performances of our algorithm, we have evaluated the adaptive filtering properties in computational complexity and convergence speed performance by system mismatch criteria. A fair comparison with adaptive and nonadaptive noise reduction algorithms are also presented. The adaptive algorithms are the well-known two-microphone normalized least mean square algorithm, and the recently published two-microphone pseudo affine projection algorithm. The nonadaptive algorithms are the one-microphone spectral subtraction and the two-microphone Wiener filter algorithm. We evalute the quality of the output speech signal in each algorithm by several objective and subjective criteria as the segmental signalto-noise ratio, cepstral distance, perceptual evaluation of speech quality, and the mean opinion score. Finally, we validate the superior performances of the proposed algorithm with physically measured signals.

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“…This application of speech enhancement is still taking an important place in our daily life because it is used and present in every new teleconferencing systems, such as hands-free telephony, hearing aid, and teleconferencing. Several techniques have been proposed to deal with the problem of acoustic noise reduction and speech enhancement applications [2][3][4][5]. For instance, in [6][7][8][9][10] several single and dual microphones based on adaptive techniques are proposed to correct the distortions of the speech signal.…”

Section: Introductionmentioning

confidence: 99%

“…One of the main challenges for noise suppression algorithms methods is the detection or the estimation of the signal of interest. For example, the BSS techniques have shown a good performances that makes the hands-free system in a car communication highly robust toward noise components [22][23][24][25][26][27][28][29][30][31][32]. It is well known that the BSS is a powerful technique for acoustic noise reduction and speech enhancement in many situation such as in a car configuration involving loosely spaced microphones and short impulse responses.…”

Section: Introductionmentioning

confidence: 99%

A new regularized forward blind source separation algorithm for automatic speech quality enhancement

Zoulikha

Djendi

2016

Applied Acoustics

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Two-channel variable-step-size forward-and-backward adaptive algorithms for acoustic noise reduction and speech enhancement

Cited by 33 publications

References 27 publications

Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

A new two‐microphone Gauss‐Seidel pseudo affine projection algorithm for speech quality enhancement

A new regularized forward blind source separation algorithm for automatic speech quality enhancement

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