Publications
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Water safety plan enhancements with improved drinking water quality detection techniques Ghent University
A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation KU Leuven
The exponential growth in publications represents a major challenge for researchers. Many scientific domains, including neuroscience, are not yet fully engaged in exploiting large bodies of publications. In this paper, we promote the idea to partially automate the processing of scientific documents, specifically using text mining (TM), to efficiently review big corpora of publications. The “cognitive advantage” given by TM is mainly related to ...
Body Conducted Speech Enhancement by Equalization and Signal Fusion Vrije Universiteit Brussel
This paper studies body-conducted speech for noise robust speech processing purposes. As body-conducted speech is typically limited in bandwidth, signal processing is required to obtain a signal that is both high in quality and low in noise. We propose an algorithm that first equalizes the body-conducted speech using filters obtained from a pre-defined filter set and subsequently fuses this equalized signal with a noisy conventional microphone ...
A new weighted NMF algorithm for missing data interpolation and its application to speech enhancement Ghent University
In this paper we present a novel weighted NMF (WNMF) algorithm for interpolating missing data. The proposed approach has a computational cost equivalent to that of standard NMF and, additionally, has the flexibility to control the degree of interpolation in the missing data regions. Existing WNMF methods do not offer this capability and, thereby, tend to overestimate the values in the masked regions. By constraining the estimates of the ...
DNN-supported speech enhancement with cepstral estimation of both excitation and envelope Ghent University
In this paper, we propose and compare various techniques for the estimation of clean spectral envelopes in noisy conditions. The source-filter model of human speech production is employed in combination with a hidden Markov model and/or a deep neural network approach to estimate clean envelope-representing coefficients in the cepstral domain. The cepstral estimators for speech spectral envelope-based noise reduction are both evaluated alone and ...
Implementation of patient-tailored contrast volumes based on body surface area and heart rate harmonizes contrast enhancement and reduces contrast load in small patients in portal venous phase abdominal CT Ghent University KU Leuven
Purpose: The aim of this study was to evaluate the impact of a patient-tailored contrast volume protocol on portal venous phase abdominal CT-images compared to a fixed volume protocol in daily radiological practice. Method: Data of 77 patients who underwent two contrast-enhanced CT-examinations were collected. The first examination was performed with a fixed contrast volume (95 ml), the follow-up examination was performed with a patient-tailored ...
Embedded Optimization Algorithms for Perceptual Enhancement of Audio Signals (Ingebedde optimalisatie-algoritmes voor de perceptuele verbetering van geluidssignalen) KU Leuven
This thesis investigates the design and evaluation of an embedded optimization framework for the perceptual enhancement of audio signals which are degraded by linear and/or nonlinear distortion. In general, audio signal enhancement has the goal to improve the perceived audio quality, speech intelligibility, or another desired perceptual attribute of the distorted audio signal by applying a real-time digital signal processing algorithm. In the ...
Enhancement mechanism of electrochemical drilling square-small holes with workpiece vibration KU Leuven
Square-small holes are used as a critical feature in the fields of aerospace, machine-tooling, automation, and mechanical component construction. Electrochemical drilling (EC-drilling) is a promising approach for manufacturing square-small holes. However, the distribution of flow field in the inter-electrode gap (IEG) becomes non-uniform because of the unique structure of the square-cross-section tubular tool, leading to the accumulation of ...
Error Enhancement for Upper Limb Rehabilitation in the Chronic Phase after Stroke: A 5-Day Pre-Post Intervention Study KU Leuven
A large proportion of chronic stroke survivors still struggle with upper limb (UL) problems in daily activities, typically reaching tasks. During three-dimensional reaching movements, the deXtreme robot offers error enhancement forces. Error enhancement aims to improve the quality of movement. We investigated clinical and patient-reported outcomes and assessed the quality of movement before and after a 5 h error enhancement training with the ...