Circular microphone array for meeting system

Tamai, Y.; Kagami, Satoshi; Mizoguchi, Hiroshi; Sakaya, Kota; Nagashima, Koichi; Takano, Tsuyoshi

doi:10.1109/icsens.2003.1279114

Cited by 13 publications

(9 citation statements)

References 3 publications

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“…Huge microphone arrays have been widely investigated: arrays have been built at Tokyo University of Science (128 ch) [2], the University of Electro-Communication (156 ch) [3], Brown University and Rutgers University (512 ch) [4], [5], and the Massachusetts Institute of Technology (1,020 ch) [1]. However, the problems of increasing computation, power consumption, and cost make their practical use difficult, particularly in terms of sound-data acquisition.…”

Section: Introductionmentioning

confidence: 99%

Low-Traffic and Low-Power Data-Intensive Sound Acquisition with Perfect Aggregation Specialized for Microphone Array Networks

Noguchi

Takagi

Kugata

et al. 2010

2010 Fourth International Conference on Sensor Technologies and Applications

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We propose a microphone array network that realizes ubiquitous sound acquisition. Several nodes with 16 microphones are connected to form a novel huge sound acquisition system, which carries out voice activity detection (VAD), sound source localization, and separation. The three operations are distributed among nodes. Using the distributed network, we achieve a low-traffic data-intensive array network. To manage nodes' power consumption, VAD is implemented. Consequently, the system uses little power when speech is not active. For sound localization, a networkconnected multiple signal classification (MUSIC) algorithm is used. The sound separation system can improve a signal-noise ratio (SNR) by 7.75 dB using 112 microphones. Network traffic is reduced by 99.11% when using 1024 microphones.

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Section: Introductionmentioning

confidence: 99%

Low-Traffic and Low-Power Data-Intensive Sound Acquisition with Perfect Aggregation Specialized for Microphone Array Networks

Noguchi

Takagi

Kugata

et al. 2010

2010 Fourth International Conference on Sensor Technologies and Applications

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show abstract

“…Prior to summation, signals undergo certain modifications in order to adapt system characteristics to the desired application. For example, one practical application of these systems is in conference audio systems [2], where an array of microphones is used to locate the active speaker, maximize the beam in his direction and then acquire the signal. Another popular application is the acoustical camera which can separate dominant sound sources or sound sources of certain frequency content on a given visual scene [3].…”

Section: Introductionmentioning

confidence: 99%

Comparison of LMS adaptive beamforming techniques in microphone arrays

Bjelić¹,

Stanojević²

2015

Serb J Electr Eng

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This paper discusses principles of microphone array beamforming, specifically the use of LMS algorithm with training sequence. The problem of wideband nature of acoustical signals and its impact on the techniques of beamforming are discussed. Detailed explanation of classic narrowband and wideband LMS beamformers is presented, as well as the modification of narrowband algorithm with pre-steering. Experimental testing and comparison of algorithm performances was conducted and measurement results are presented. The used microphone array is part of Brüel & Kjaer acoustical camera, and is comprised of 18 omnidirectional non-uniformly spaced microphones.

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“…Recent improvements in information processing technology have produced realtime sound-processing systems using microphone arrays 2) . One application is a meeting system with a 128-ch square microphone array 3) , which captures speech data from every microphone: The microphone array processes signal recordings and also performs noise reduction, sound-source separation, speech recognition, speaker identification, and other tasks. A microphone array can localize sound sources and separate multiple sources using spatial information of the acquired sounds.…”

Section: Introductionmentioning

confidence: 99%

Data-Intensive Sound Acquisition System with Large-scale Microphone Array

Noguchi

Takagi

Kugata

et al. 2011

Journal of Information Processing

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We propose a microphone array network that realizes ubiquitous sound acquisition. Several nodes with 16 microphones are connected to form a novel huge sound acquisition system, which carries out voice activity detection (VAD), sound source localization, and sound enhancement. The three operations are distributed among nodes. Using the distributed network, we produce a lowtraffic data-intensive array network. To manage node power consumption, VAD is implemented. The system uses little power when speech is not active. For sound localization, a network-connected multiple signal classification (MUSIC) algorithm is used. The experimental result of the sound-source enhancement shows a signal-noise ratio (SNR) improvement of 7.75 dB using 112 microphones. Network traffic is reduced by 99.11% when using 1,024 microphones.

show abstract

Circular microphone array for meeting system

Cited by 13 publications

References 3 publications

Low-Traffic and Low-Power Data-Intensive Sound Acquisition with Perfect Aggregation Specialized for Microphone Array Networks

Low-Traffic and Low-Power Data-Intensive Sound Acquisition with Perfect Aggregation Specialized for Microphone Array Networks

Comparison of LMS adaptive beamforming techniques in microphone arrays

Data-Intensive Sound Acquisition System with Large-scale Microphone Array

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