Results 231 to 240 of about 1,518,880 (291)
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IEEE/ACM Transactions on Audio Speech and Language Processing, 2019
Nonlinear acoustic echo cancellation (AEC) is a highly challenging task in a single-microphone; hence, the AEC technique with a microphone array has also been considered to more effectively reduce the residual echo. However, these algorithms track only a
Jihwan Park, Joon‐Hyuk Chang
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Nonlinear acoustic echo cancellation (AEC) is a highly challenging task in a single-microphone; hence, the AEC technique with a microphone array has also been considered to more effectively reduce the residual echo. However, these algorithms track only a
Jihwan Park, Joon‐Hyuk Chang
semanticscholar +1 more source
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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Phased microphone array for sound source localization with deep learning
Aerospace Systems, 2018To phased microphone array for sound source localization, algorithm with both high computational efficiency and high precision is a persistent pursuit until now.
Wei Ma, Xun Liu
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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]
This 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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IEEE/ACM Transactions on Audio Speech and Language Processing, 2017
In this paper, with the aim of using the spatial information obtained from a distributed microphone array employed for acoustic scene analysis, we propose a robust and efficient method, which is called the spatial cepstrum.
Keisuke Imoto, Nobutaka Ono
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In this paper, with the aim of using the spatial information obtained from a distributed microphone array employed for acoustic scene analysis, we propose a robust and efficient method, which is called the spatial cepstrum.
Keisuke Imoto, Nobutaka Ono
semanticscholar +1 more source

