Results 201 to 210 of about 20,034 (256)
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The Spherical-Shell Microphone Array
IEEE Transactions on Audio, Speech, and Language Processing, 2008Spherical microphone arrays have been recently studied for a wide range of applications. In particular, microphones arranged around an open or virtual sphere are useful in scanning microphone arrays for sound field analysis. However, open-sphere spherical arrays have been shown to have poor robustness at frequencies related to the zeros of the ...
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A microphone array for car environments
Speech Communication, 1992Abstract This paper describes a microphone array for speech recording in car environments. The array is designed for hands-free radiotelephone, and is also used as a front-end for an automatic speech recognition system (this study has been realised within the european ESPRIT project ARS “adverse environment recognition of speech”). We first summarise
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Steerable Circular Differential Microphone Arrays
2018 26th European Signal Processing Conference (EUSIPCO), 2018An efficient continuous beam steering method, applicable to differential microphones of any order, has been recently developed. Given two identical reference beams, pointing in two different directions, the method allows to derive a beam of nearly constant shape continuously steerable between those two directions.
Lovatello J., Bernardini A., Sarti A.
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Superdirective Microphone Arrays
2001This chapter gives an overview of so-called superdirective beamformers, which can be derived by applying the minimum variance distortionless response (MVDR) principle to theoretically well-defined noise fields, as for example the diffuse noise field. We show that all relevant performance measures for beamformer designs are functions of the coherence ...
Joerg Bitzer, K. Uwe Simmer
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Remote microphone virtual sensing with nested microphone sub-arrays [PDF]
The Journal of the Acoustical Society of AmericaThis study uses the remote microphone technique to investigate the use of nested sub-arrays that incorporate either pressure or both pressure and pressure gradient information to estimate the pressure at remote locations in a random sound field. The sub-arrays of either pressure sensors or closely spaced microphone pairs are nested to form both uniform
Achilles Kappis +2 more
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Microphone position and gain calibration for a large-aperture microphone array
IEEE Transactions on Speech and Audio Processing, 2005Large-aperture microphone arrays have the potential for providing quality speech acquisition from multiple talkers over a large focal area for such applications as teleconferencing and speech-recognition input. The cost of computing is rapidly approaching the point at which these arrays will be practical in many common environments.
Joshua M. Sachar +2 more
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Teleconference microphone arrays
The Journal of the Acoustical Society of America, 1982A directional array of acoustic transducers is disclosed. The acoustic transducers are arranged colinearly and in pairs symmetrically about a center line of the directional array. The distances of the acoustic transducers on either side of the center line of the array are neither linear nor monotonic.
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Design of Robust Differential Microphone Arrays
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014Differential microphone arrays (DMAs), due to their small size and enhanced directivity, are quite promising in speech enhancement applications. However, it is well known that differential beamformers have the drawback of white noise amplification, which is a major issue in the processing of wideband signals such as speech.
Liheng Zhao +2 more
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Calibration of a Microphone Array Based on a Probabilistic Model of Microphone Positions
2020This paper addresses a novel method for calibrating microphone positions included in a microphone array. The performance of microphone array processing deteriorates due to two factors: (1) differences between predetermined position and actual positions of the microphones. (2) sound source signal overlaps in frequency and time.
Katsuhiro Dan +3 more
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Position and Trajectory Learning for Microphone Arrays
IEEE Transactions on Audio, Speech and Language Processing, 2007In this paper, we tackle the problem of source localization by example. We present a methodology that allows a user to train a microphone array system using signals from a set of positions and trajectories and subsequently recall the localization information when presented with new input signals.
Paris Smaragdis, Petros Boufounos
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