Multichannel speech enhancement using MEMS microphones

Skordilis, Zisis Iason; Tsiami, Antigoni; Maragos, Petros; Potamianos, Gerasimos; Spelgatti, L.; Sannino, Roberto

doi:10.1109/icassp.2015.7178467

Cited by 13 publications

(6 citation statements)

References 21 publications

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“…This has an impact on the robustness and stability of the beamforming filters and on the performance of the array in terms of spatial accuracy. Many solutions have been already explored, mostly spherical and cylindrical [21]- [26], and examples of two-dimensional planar microphone arrays can be found in [27]- [30] with circular, radial or random distribution of the capsules.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Architecture of Full-Digital Microphone Arrays Over A²B Network for Consumer Electronics

Pinardi

Rocchi

Toscani

et al. 2022

IEEE Trans. Consumer Electron.

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Microphone arrays of various sizes and shapes are currently employed in consumer electronics devices such as speakerphones, smart TVs, smartphones, and headphones. In this paper, a full-digital, planar microphone array is presented. It makes use of digital Micro Electro-Mechanical Systems (MEMS) microphones, connected through the Automotive Audio Bus (A 2 B). A clock propagation model for A 2 B networks, developed in a previous work, was employed to estimate the effects of jitter and delay on microphone arrays. It will be shown that A 2 B allows for a robust data transmission, while ensuring deterministic latency and channels synchronization, thus overcoming the signal integrity issues which usually affect MEMS capsules. The microphone positioning is also discussed since it greatly affects the spatial accuracy of beamforming. Numerical simulations were performed on four regular geometries to identify the optimal layout in terms of number of capsules and beamforming directivity. An A 2 B planar array with equilateral triangle geometry and four microphones, three in the vertices and one in the center, was built. Experimental measurements were performed, obtaining an excellent matching with numerical simulations. Finally, the concept of an array of arrays (meta-array) is presented, designed by combining several triangular units and analyzed through numerical simulations.Index Terms-Automotive Audio Bus (A 2 B), automotive applications, beamforming, consumer products, digital MEMS microphones, meta-arrays, microphone arrays, planar arrays, spatial audio, triangular arrays.

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Section: Introductionmentioning

confidence: 99%

An Innovative Architecture of Full-Digital Microphone Arrays Over A²B Network for Consumer Electronics

Pinardi

Rocchi

Toscani

et al. 2022

IEEE Trans. Consumer Electron.

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show abstract

“…Recent works on digital microphone arrays discuss their implementation and compare their performance to analog arrays for various signal processing tasks, such as distant speech recognition [9], recognition of overlapping speech [10], speech enhancement [11], and speaker diarisation [12]. The work in [13] presents a digital array design for aeroacoustic measurements, while the implementation of a system for sound acquisition with MEMS microphones is presented in [14].…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of a digital MEMS microphone array for spatial audio

Alexandridis

Papadakis

Pavlidi

et al. 2016

2016 24th European Signal Processing Conference (EUSIPCO)

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We present the design of a digital microphone array comprised of MEMS microphones and evaluate its potential for spatial audio capturing and direction-of-arrival (DOA) estimation which is an essential part of encoding the soundscape. The device is a cheaper and more compact alternative to analog microphone arrays which require external-and usually expensive-analogto-digital converters and sound cards. However, the performance of such digital arrays for DOA estimation and spatial audio acquisition has not been investigated. In this work, the efficiency of the digital array for spatial audio is evaluated and compared to a typical analog microphone array of the same geometry. Our results indicate that our digital array achieves the same performance as its analog counterpart, thus offering a cheaper and easily deployable device, suitable for spatial audio applications.

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“…Indoor applications, such as videoconferencing, home surveillance, and patient care, make also use of microphone arrays for speech detection [1,7]. This paper describes the design and implementation on an FPGA of an eightelement digital MEMS microphone array for distant speech recognition.…”

Section: Related Workmentioning

confidence: 99%

Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization

et al. 2017

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The use of microphone arrays for sound-source localization is a well-researched topic. The response of such sensor arrays is dependent on the quantity of microphones operating on the array. A higher number of microphones, however, increase the computational demand, making real-time response challenging. In this paper, we present a Filter-and-Sum based architecture and several acceleration techniques to provide accurate sound-source localization in real-time. Experiments demonstrate how an accurate sound-source localization is obtained in a couple of milliseconds, independently of the number of microphones. Finally, we also propose different strategies to further accelerate the sound-source localization while offering increased angular resolution.

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Multichannel speech enhancement using MEMS microphones

Cited by 13 publications

References 21 publications

An Innovative Architecture of Full-Digital Microphone Arrays Over A²B Network for Consumer Electronics

An Innovative Architecture of Full-Digital Microphone Arrays Over A²B Network for Consumer Electronics

Development and evaluation of a digital MEMS microphone array for spatial audio

Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization

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