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Jager, Ingmar (author), Heusdens, R. (author), Gaubitch, N.D. (author)A computer being able to estimate the geometry of a room could benefit applications such as auralization, robot navigation, virtual reality and teleconferencing. When estimating the geometry of a room using multiple microphones, the main challenge is to identify which reflections, or echoes, originate from the same wall and can, therefore, be...conference paper 2016
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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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Zhang, G. (author), Heusdens, R. (author)Recently, the primal-dual method of multipliers (PDMM) has been proposed to solve a convex optimization problem defined over a general graph. In this paper, we consider simplifying PDMM for a subclass of the convex optimization problems. This subclass includes the consensus problem as a special form. By using algebra, we show that the update...conference paper 2016
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Sherson, T.W. (author), Kleijn, W.B. (author), Heusdens, R. (author)In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed distributed minimum variance (DMV) algorithm, for which we demonstrate implementations for both cyclic and acyclic networks, allows the optimal beamformer output to be...conference paper 2016
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Jensen, Jesper Rindom (author), Nielsen, J.K. (author), Heusdens, R. (author), Christensen, Mads Græsbøll (author)Reverberation is well-known to have a detrimental impact on many localization methods for audio sources. We address this problem by imposing a model for the early reflections as well as a model for the audio source itself. Using these models, we propose two iterative localization methods that estimate the direction-of-arrival (DOA) of both the...conference paper 2016
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Zhang, J. (author), Hendriks, R.C. (author), Heusdens, R. (author)Randomized gossip (RG) based distributed averaging has been popular for wireless sensor networks (WSNs) in multiple areas. With RG, randomly two adjacent nodes are selected to communicate and exchange information iteratively until consensus is reached. One way to improve the convergence speed of RG is to use greedy gossip with eavesdropping (GGE...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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Koutrouvelis, A.I. (author), Kafentzis, G.P. (author), Gaubitch, N.D. (author), Heusdens, R. (author)We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal opening instants (GCIs and GOIs, respectively). The proposed algorithm exploits the structure of the glottal flow derivative in order to estimate GCIs and GOIs only in...journal article 2015
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Koutrouvelis, A. (author), Kafentzis, GP (author), Gaubitch, N.D. (author), Heusdens, R. (author)We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal opening instants (GCIs and GOIs, respectively). The proposed algorithm exploits the structure of the glottal flow derivative in order to estimate GCIs and GOIs only in...journal article 2015
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Koutrouvelis, A.I. (author), Heusdens, R. (author), Gaubitch, N.D. (author)The aim of this paper is to provide an experimental evaluation of five linear prediction methods in terms of sparsity, stability and robustness to reverberation. Moreover, we show that all the considered methods can be derived from a general linear prediction optimization problem. It is empirically found that the sparsest and also one of the...conference paper 2014
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Heusdens, R. (author), Engelen, S. (author), Buist, P.J. (author), Noroozi, A. (author), Sundaramoorthy, P.P. (author), Verhoeven, C.J.M. (author), Bentum, M. (author), Gill, E.K.A. (author)Pulsars with their periodic pulses and known positions are ideal beacons for navigation. The challenge, however, is the detection of the very weak pulsar signals that are submerged in noise. Radio based approaches allow the use of advanced techniques and methods for the detection and acquisition of such weak signals. In this paper, an effective...conference paper 2012
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Taal, C.H. (author), Henriks, R.C. (author), Heusdens, R. (author), Jensen, J. (author)Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for intelligibility prediction of noisy speech...journal article 2011
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Taal, C.H. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, J. (author)Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for intelligibility prediction of noisy speech...journal article 2011
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Van Bijleveld, C. (author), Hendriks, R.C. (author), Heusdens, R. (author), Taal, C.H. (author)A pair of properly functioning ears is of great importance for various common daily tasks. While the perception of speech is perhaps one of the most obvious examples, being notified by certain sounds like (fire-) alarms or traffic sounds can even be lifesaving. Therefore it is not surprising that hearing impairment may have a strong (social)...journal article 2010
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Heusdens, R. (author), Hendriks, R.C. (author), Jensen, J. (author), Kjems, U. (author)Although most noise reduction algorithms are critically dependent on the noise power spectral density (PSD), most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently, a DFT-subspace-based method was proposed which improves noise PSD estimation under these conditions. However, this...journal article 2009
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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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Erkelens, J.S. (author), Heusdens, R. (author)This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes in noise power level (up to about 10 dB/s). In each time frame, for each frequency bin, the noise variance estimate is updated recursively with the minimum mean-square...journal article 2008
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Hendriks, R.C. (author), Jensen, J. (author), Heusdens, R. (author)All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in advance, estimation from the noisy speech signal is necessary. An overestimation of the noise PSD will lead to a loss in speech quality, while an underestimation will...journal article 2008
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Erkelens, J.S. (author), Hendriks, R.C. (author), Heusdens, R. (author)This letter considers the estimation of speech signals contaminated by additive noise in the discrete Fourier transform (DFT) domain. Existing complex-DFT estimators assume independency of the real and imaginary parts of the speech DFT coefficients, although this is not in line with measurements. In this letter, we derive some general results on...journal article 2008
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- Ostergaard, J. (author), Jensen, J. (author), Heusdens, R. (author) journal article 2006