Theoretical Analysis of Binaural Multimicrophone Noise Reduction Techniques

Cornelis, Bram; Doclo, Simon; Bogaert, Tim Van den; Moonen, Marc; Wouters, Jan

doi:10.1109/tasl.2009.2028374

Cited by 122 publications

(148 citation statements)

References 19 publications

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“…In this section we specify the used performance measures, which are based on [8,12]. These measures are averaged over all frequency bins and frames.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The input and output interaural transfer functions (ITFs) of the desired source are given by [8] ITF in…”

Section: Itfs Itds and Ildsmentioning

confidence: 99%

“…In [7], it was shown that the MWF perfectly preserves the binaural cues of the desired source, but distorts the ones of the interferers. Several multi-microphone noise reduction techniques that aim at simultaneous noise reduction and binaural cue preservation have been proposed in the literature [7][8][9][10][11][12]. Binaural cues are defined by the interaural level differences (ILDs) and the interaural time differences (ITDs) [8].…”

Section: Introductionmentioning

confidence: 99%

“…In [10], a variation of the MWF is proposed, which preserves the ITDs and ILDs of the desired source, but only partially preserves binaural cues of the interferers [8,10]. More specifically, the method uses a trade-off parameter, which allows a portion of the noise to remain unprocessed in the final enhanced signal by mixing in a portion of the original noisy signal.…”

Section: Introductionmentioning

confidence: 99%

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Improved multi-microphone noise reduction preserving binaural cues

Koutrouvelis

Hendriks

Jensen

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We propose a new multi-microphone noise reduction technique for binaural cue preservation of the desired source and the interferers. This method is based on the linearly constrained minimum variance (LCMV) framework, where the constraints are used for the binaural cue preservation of the desired source and of multiple interferers. In this framework there is a trade-off between noise reduction and binaural cue preservation. The more constraints the LCMV uses for preserving binaural cues, the less degrees of freedom can be used for noise suppression. The recently presented binaural LCMV (BLCMV) method and the optimal BLCMV (OBLCMV) method require two constraints per interferer and introduce an additional interference rejection parameter. This unnecessarily reduces the degrees of freedom, available for noise reduction, and negatively influences the trade-off between noise reduction and binaural cue preservation. With the proposed method, binaural cue preservation is obtained using just a single constraint per interferer without the need of an interference rejection parameter. The proposed method can simultaneously achieve noise reduction and perfect binaural cue preservation of more than twice as many interferers as the BLCMV, while the OBLCMV can preserve the binaural cues of only one interferer.

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“…In this section we specify the used performance measures, which are based on [8,12]. These measures are averaged over all frequency bins and frames.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The input and output interaural transfer functions (ITFs) of the desired source are given by [8] ITF in…”

Section: Itfs Itds and Ildsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved multi-microphone noise reduction preserving binaural cues

Koutrouvelis

Hendriks

Jensen

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…The BNR methods can be roughly grouped into two main categories: a) methods that require estimates of the relative acoustic transfer functions (RATFs) of all present sources (e.g., [3]- [7]), and b) methods which require only the estimated RATF of the target (e.g., [8]- [11]). In this paper we focus on the second category of BNR methods mainly due to the practicality of only relying on the target RATF.…”

Section: Introductionmentioning

confidence: 99%

Binaural speech enhancement with spatial cue preservation utilising simultaneous masking

Koutrouvelis

Jensen

Guo

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Binaural multi-microphone noise reduction methods aim at noise suppression while preserving the spatial impression of the acoustic scene. Recently, a new binaural speech enhancement method was proposed which chooses per timefrequency (TF) tile either the enhanced target or a suppressed noisy version. The selection between the two is based on the input SNR per TF tile. In this paper we modify this method such that the selection mechanism is based on the output SNR. The proposed modification of deciding which TF tile is target-or noise-dominated leads to choices, which are better aligned with simultaneous masking properties of the auditory system, and, hence, improves the performance over the initial version of the algorithm.

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