Searched for: subject%3A%22noise%255C+reduction%22
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Aarts, M. (author), Pries, H. (author), Doff, A. (author)
Nowadays, noise reduction in mobile communication is an increasingly important topic. This thesis discusses the possibilities of using beamforming with a two microphone array for smartphone applications. The goal of the project is to realise a beamforming algorithm for smartphones to improve on current Signal to Noise ratios attained by standard...
bachelor thesis 2012
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van Zon, Manon (author)
MRI images are very useful for detecting diseases, as well as for the treatment of diseases. However, MRI scanners are usually too expensive for developing countries to purchase and maintain. Therefore, a less expensive scanner is being developed at Delft University of Technology and Leiden University Medical Center. Unfortunately, the images...
bachelor thesis 2019
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Timmer, Thijs (author), van Wingerden, Quinten (author)
This Bachelor graduation project has the goal to create a device which is able of automatic volume control, to be used for enhancing speech intelligibility. To tackle the intelligibility of speech through Public Address Systems (PA Systems), an Intelligibility-Enhancing Automatic Volume Control system was proposed. The total system to be made...
bachelor thesis 2019
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Bae, Y. (author), Jang, J.Y. (author), Moon, Y.J. (author)
In the present study, the effects of fluid-structure interaction (FSI) on the trailingedge noise are numerically investigated, particularly for the cases of wake instability and Karman vortex shedding. The trailing-edge is modelled as a flat plate with an elastic cantilever end and its flow-induced vibration is solved by an eigenmode analysis...
conference paper 2006
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Koutrouvelis, A. (author), Hendriks, R.C. (author), Jensen, J (author), Heusdens, R. (author)
We propose a new multi-microphone noise reduction technique for binaural cue preservation of the desired source and the interferers. This method is based on the linearly constrained minimum variance (LCMV) framework, where the constraints are used for the binaural cue preservation of the desired source and of multiple interferers. In this...
conference paper 2016
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Amini, J. (author), Hendriks, R.C. (author), Heusdens, R. (author), Guo, M. (author), Jensen, Jesper Rindom (author)
Multi-microphone noise reduction algorithms in binaural hearing aids which cooperate through a wireless link have the potential to become of great importance in future hearing aid systems. However, limited transmission capacity of such devices necessitates the data compression of signals transmitted from one hearing aid to the contralateral one....
conference paper 2016
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Ragni, D. (author), Avallone, F. (author), van der Velden, W.C.P. (author)
The far-field noise and flow field of a novel curved trailing-edge serration (i.e. iron-shaped) are investigated. Spectra of the far-field broadband noise, directivity plots and the flow-field over the iron-shaped serration are obtained from numerical computations performed using a compressible Lattice-Boltzmann solver. The new design is...
conference paper 2017
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He, Rui (author), Tsouvalas, A. (author), Xu, Xiaomei (author), Dong, Lijun (author)
contribution to periodical 2023
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Hendriks, R.C. (author)
The interest in the field of speech enhancement emerges from the increased usage of digital speech processing applications like mobile telephony, digital hearing aids and human-machine communication systems in our daily life. The trend to make these applications mobile increases the variety of potential sources for quality degradation. Speech...
doctoral thesis 2008
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Zeng, Y. (author)
In digital speech communication applications like hands-free mobile telephony, hearing aids and human-to-computer communication systems, the recorded speech signals are typically corrupted by background noise. As a result, their quality and intelligibility can get severely degraded. Traditional noise reduction approaches process signals recorded...
doctoral thesis 2015
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Monteiro Oliveira Cortez, A.M. (author)
doctoral thesis 2015
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Zhang, J. (author)
In speech processing applications, e.g., speech recognition, hearing aids (HAs), video conferencing, and human-computer interaction, speech enhancement or noise reduction is an essential front-end task, as the recorded speech signals are inevitably corrupted by interference, including coherent/incoherent noise and reverberation. Traditional...
doctoral thesis 2020
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Esveld, C. (author)
Railway engineering has been a traditional discipline for over hundred years. Most developments were based upon experience and progressed thus very slowly. Recent proposed new railway structures and new applications make the traditional empirical approach ineffective. To support the new developments much more research, both experimental and...
journal article 2000
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Hendriks, R.C. (author), Heusdens, R. (author), Kjems, U. (author), Jensen, J. (author)
In this letter we present discrete Fourier transform (DFT) domain minimum mean-squared error (MMSE) estimators for multichannel noise reduction. The estimators are derived assuming that the clean speech magnitude DFT coefficients are generalized-Gamma distributed. We show that for Gaussian distributed noise DFT coefficients, the optimal...
journal article 2009
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Zhang, D. (author), Tenpierik, M.J. (author), Bluyssen, P.M. (author)
A recently published simulation-based study has demonstrated the effect of an individually controlled noise-reducing device (ICND) on improving acoustic quality in classrooms. As a follow-up research, this current study aims to develop a real ICND and test it with its target users-- primary school children. The prototype developed in this study...
journal article 2021
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Luesutthiviboon, S. (author), Ragni, D. (author), Avallone, F. (author), Snellen, M. (author)
This study focuses upon a new permeable topology design concept as an alternative to porous metal foams, for turbulent boundary layer trailing-edge (TBL-TE) noise attenuation. The present permeable topology has unconventional characteristics with respect to the metal foams: a combination of low flow resistivity r and high form drag...
journal article 2021
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Smirnova, Alisa (author), Yang, J. (author), Yang, Dingqi (author), Cudre-Mauroux, Philippe (author)
Noisy labels represent one of the key issues in supervised machine learning. Existing work for label noise reduction mainly takes a probabilistic approach that infers true labels from data distributions in low-level feature spaces. Such an approach is not only limited by its capability to learn high-quality data representations, but also by...
journal article 2022
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Koutrouvelis, A. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, Jesper (author)
The recently proposed relaxed binaural beamforming (RBB) optimization problem provides a flexible tradeoff between noise suppression and binaural-cue preservation of the sound sources in the acoustic scene. It minimizes the output noise power, under the constraints, which guarantee that the target remains unchanged after processing and the...
journal article 2019
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Zhang, Jie (author), Chen, Huawei (author), Hendriks, R.C. (author)
Multi-microphone speech enhancement methods typically require a reference position with respect to which the target signal is estimated. Often, this reference position is arbitrarily chosen as one of the reference microphones. However, it has been shown that the choice of the reference microphone can have a significant impact on the final...
journal article 2020
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Teruna, C. (author), Rego, Leandro (author), Avallone, F. (author), Ragni, D. (author), Casalino, D. (author)
Porous materials have been widely investigated as a mean for noise reduction. Numerical simulations can be used to investigate the physical mechanisms responsible for noise reduction; however, a correct modeling of the porous medium through an equivalent fluid model is essential to minimize the computational costs. This paper reports a...
journal article 2021
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