Combined adaptive beamforming schemes for nonstationary interfering noise reduction

Comminiello, Danilo; Scarpiniti, Michele; Parisi, Raffaele; Uncini, Aurelio

doi:10.1016/j.sigpro.2013.05.014

Cited by 22 publications

(27 citation statements)

References 32 publications

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“…Using (13) as an auxiliary constraint, (14) and (16) to modify the objective function, and (15) to modify the main constraint, we can rewrite the optimization problem in (9) as…”

Section: Distributed Optimization With Pdmmmentioning

confidence: 99%

“…Apparatus such as the minimum variance distortionless response (MVDR) beamformer [4], [5], the linearly-constrained minimum variance (LCMV) beamformer [6], [7], the speech-distortion weighted multi-channel Wiener (SDW-MWF) filter [8]- [10], the transfer function generalized sidelobe canceler (TF-GLC) [11]- [14], and alike, can be used for distributed microphone arrays; however, the dominant trend is to implement these algorithms in a centralized approach. The centralized approach is not useful in ad hoc arrays for its huge communication and computational overheads.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ad hoc microphone array beamforming using the primal-dual method of multipliers

Tavakoli

Jensen

Heusdens

et al. 2016

2016 24th European Signal Processing Conference (EUSIPCO)

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Abstract-In the recent years, there have been an increasing amount of researches aiming at optimal beamforming with ad hoc microphone arrays, mostly fusion-center-based schemes. However, huge computational complexities and communication overheads impede many of these algorithms from being useful in practice. In this paper, we propose a low-footprint optimization approach to reduce the convergence time and overheads for the distributed beamforming problem. We transcribe the pseudocoherence-based beamforming which is insightful for taking into account the nature of speech. We formulate the distributed minimum variance distortionless response beamformer using the primal-dual method of multipliers. Our experiments confirm the fast convergence using the proposed distributed algorithm. It is also shown how a hard limit on the number of iterations affects the performance of the array in noise and interference suppression.Index Terms-Speech enhancement, ad hoc microphone array, distributed beamforming, primal-dual method of multipliers.

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“…Using (13) as an auxiliary constraint, (14) and (16) to modify the objective function, and (15) to modify the main constraint, we can rewrite the optimization problem in (9) as…”

Section: Distributed Optimization With Pdmmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ad hoc microphone array beamforming using the primal-dual method of multipliers

Tavakoli

Jensen

Heusdens

et al. 2016

2016 24th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

show abstract

“…In addition, in some preliminary experiments with scenarios involving multiple sources active at the same time, performance of the SMART-OPTIGRID system was found consistent when sources are separated by at least a few degrees, but it deteriorates when sources are very near to each other, due to the overlap of the recovered signals. Hence, the next development phase will involve the design of specific sound enhancement algorithms, including a noise canceler [38] and a source separation method [39,40].…”

Section: Limits Of the Current Architecturementioning

confidence: 99%

Microphone array based classification for security monitoring in unstructured environments

Scardapane

Scarpiniti

Bucciarelli

et al. 2015

AEU - International Journal of Electronics and Communications

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“…These combined schemes are introduced to improve robustness when several kinds of adverse scenario conditions can impair the filter performance, and to facilitate the selection of filter parameters, alleviating the different trade-offs inherit to adaptive filters, for instance the well-know speed of convergence vs steady-state misadjustment compromise [26]. Combination of adaptive filters have been successfully employed in different signal processing applications, including system identification [26], [27], signal modality characterization [28], array beamforming [29], [30], adaptive line enhancement [31], and acoustic applications, such as AEC [32]- [35] and ANC [23], [36], [37].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

Fúster

Diego

Azpicueta-Ruiz

et al. 2016

IEEE/ACM Trans. Audio Speech Lang. Process.

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Abstract-Room equalization has become essential for sound reproduction systems to provide the listener with the desired acoustical sensation. Recently, adaptive filters have been proposed as an effective tool in the core of these systems. In this context, this paper introduces different novel schemes based on the combination of adaptive filters idea: a versatile and flexible approach that permits obtaining adaptive schemes combining the capabilities of several independent adaptive filters.In this way, we have investigated the advantages of a scheme called combination of block-based adaptive filters which allows a blockwise combination splitting the adaptive filters into nonoverlapping blocks. This idea was previously applied to the plant identification problem, but has to be properly modified to obtain a suitable behavior in the equalization application. Moreover, we propose a scheme with the aim of further improving the equalization performance using the a priori knowledge of the energy distribution of the optimal inverse filter, where the block filters are chosen to fit with the coefficients energy distribution. Furthermore, the biased block-based filter is also introduced as a particular case of the combination scheme, especially suited for low signal-to-noise ratios (SNRs) or sparse scenarios. Although the combined schemes can be employed with any kind of adaptive filter, we employ the filtered-x improved proportionate normalized least mean square (Fx-IPNLMS) algorithm as basis of the proposed algorithms, allowing to introduce a novel combination scheme based on partitioned block schemes where different blocks of the adaptive filter use different parameter settings. Several experiments are included to evaluate the proposed algorithms in terms of convergence speed and steady-state behavior for different degrees of sparseness and SNRs.

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Combined adaptive beamforming schemes for nonstationary interfering noise reduction

Cited by 22 publications

References 32 publications

Ad hoc microphone array beamforming using the primal-dual method of multipliers

Ad hoc microphone array beamforming using the primal-dual method of multipliers

Microphone array based classification for security monitoring in unstructured environments

Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

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