On Microphone-Array Beamforming From a MIMO Acoustic Signal Processing Perspective

Benesty, Jacob; Chen, Jingdong; Huang, Yiteng; Dmochowski, Jacek

doi:10.1109/tasl.2006.885251

Cited by 128 publications

(53 citation statements)

References 35 publications

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“…In theory, the LCMV beamformer can achieve perfect dereverberation and noise cancellation when the ATFs between all sources (including interferences) and the microphones are known [12]. Using the MVDR beamformer, we can achieve perfect reverberation cancellation when the ATFs between the desired source and the microphones are known.…”

mentioning

confidence: 99%

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New Insights Into the MVDR Beamformer in Room Acoustics

Habets

Benesty

Cohen

et al. 2010

IEEE Trans. Audio Speech Lang. Process.

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134

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Abstract-The minimum variance distortionless response (MVDR) beamformer, also known as Capon's beamformer, is widely studied in the area of speech enhancement. The MVDR beamformer can be used for both speech dereverberation and noise reduction. This paper provides new insights into the MVDR beamformer. Specifically, the local and global behavior of the MVDR beamformer is analyzed and novel forms of the MVDR filter are derived and discussed. In earlier works it was observed that there is a tradeoff between the amount of speech dereverberation and noise reduction when the MVDR beamformer is used. Here, the tradeoff between speech dereverberation and noise reduction is analyzed thoroughly. The local and global behavior, as well as the tradeoff, is analyzed for different noise fields such as, for example, a mixture of coherent and non-coherent noise fields, entirely non-coherent noise fields and diffuse noise fields. It is shown that maximum noise reduction is achieved when the MVDR beamformer is used for noise reduction only. The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the direct-to-reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation supports the theoretical analysis and demonstrates the tradeoff between speech dereverberation and noise reduction. When desiring both speech dereverberation and noise reduction, the results also demonstrate that the amount of noise reduction that is sacrificed decreases when the number of microphones increases.

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mentioning

confidence: 99%

“…In earlier works [12], it was observed that there is a tradeoff between the amount of speech dereverberation and noise reduction. However, this tradeoff was never rigorously analyzed.…”

mentioning

confidence: 99%

New Insights Into the MVDR Beamformer in Room Acoustics

Habets

Benesty

Cohen

et al. 2010

IEEE Trans. Audio Speech Lang. Process.

Self Cite

134

View full text Add to dashboard Cite

show abstract

“…It has more sensors, more compact appearance, higher resolution image, and higher imaging speed than the acoustic array system which is based on traditional electret microphone [10]. It can be used in ordinary workshop to measure the acoustic images of any stationary or non-stationary sound source such as machine and gas leakage noise.…”

Section: Resultsmentioning

confidence: 99%

A novel acoustic imaging system based on digital MEMS sensors

Chen¹,

Cao²,

Guo³

2015

Proceedings of the 2015 International Conference on Applied Science and Engineering Innovation

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Abstract. Developed an acoustic imaging system applied in acoustic test. The acoustic array is made up of 260 MEMS microphones and control by a FPGA, which also in charge of transferring data by optical fiber. The mainframe is control by a FPGA. A DSP is in charge of processing the data from acoustic array. Two embedded system work for saving data and displaying acoustic image. Test results verified that the system can satisfy the need of acoustic imaging for machinery noise and gas-leakage noise in normal workshop. This system has a wide application.

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“…I Although the response is not truly distortionless, we follow the definition of the time-domain MVDR beam former of Benesty et al [10].…”

Section: Notation and Signal Modelmentioning

confidence: 99%

“…A large part of the beamforming literature tends to focus on dereverberation and room equalization and assume a de tailed knowledge of the room impulse response [8,9,10]. This approach has two main drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Raking echoes in the time domain

Scheibler

Vetterli

2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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The geometry of room acoustics is such that the reverberant signal can be seen as the same waveform emitted from multiple locations. In analogy with the rake receiver from wireless com munications, we propose several beamforming strategies that exploit, rather than suppress, this additional spatio-temporal di versity. Unlike earlier work in the frequency domain, time do main designs allow to shape the impulse response of the beam former. In particular, we can control perceptually relevant pa rameters, such as the amount of early echoes or the length of the beamformer response.Relying on the knowledge of the image sources positions, we derive different optimal beamformers. Leveraging percep tual cues, we show how to improve interference and noise re duction without degrading the perceptual quality. The designs are validated through simulation. Using early echoes is shown to strictly improve the signal to interference and noise ratio. Code and speech samples are available online at http: / / lcav.epfl.ch/Robin_Scheibler.

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On Microphone-Array Beamforming From a MIMO Acoustic Signal Processing Perspective

Cited by 128 publications

References 35 publications

New Insights Into the MVDR Beamformer in Room Acoustics

New Insights Into the MVDR Beamformer in Room Acoustics

A novel acoustic imaging system based on digital MEMS sensors

Raking echoes in the time domain

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