19 papers · ranked by Valyu relevance
Boxiang Wang, Zhengding Luo, Dongyuan Shi, Junwei Ji + 2 more
Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter based on the Direction-of-Arrival (DoA) of the current noise. However, this method is weak at tracking the direction variations of…
Luca Barbisan, Marco Levorato, Fabrizio Riente
—Developing algorithms for sound classification, detection, and localization requires large amounts of flexible and realistic audio data, especially when leveraging modern machine learning and beamforming techniques. However, most existing acoustic simulators are tailored for indoor environments and are limited to…
Daniella Ayala-Garcia, Andrew Curtis, Michał Branicki
It is a well-established principle that cross-correlating seismic observations at different receiver locations can yield estimates of band-limited inter-receiver Green's functions. This principle, known as Green's function retrieval or seismic interferometry, is a powerful technique that can transform noise into…
Stefano Damiano, Luca Bondi, Andre Guntoro, Toon van Waterschoot
The sound produced by vehicles driving on roadways constitutes one of the dominant noise sources in urban areas. The impact of traffic noise on human activities and the related investigation on modeling, assessment, and abatement strategies fueled the research on the simulation of the sound produced by individual…
T. Fischer, M. Kompis, G. Mantokoudis, M. Caversaccio + 1 more
Although spatial hearing is of great importance in everyday life, today’s routine audiological test batteries and static test setups assess sound localization, discrimination and tracking abilities rudimentarily and thus provide only a limited interpretation of treatment outcomes regarding spatial hearing performance.…
Yong Thung Cho
Noise and vibration sources from small direct current (DC) motors should be clearly visualized for optimal design of low noise motors. For accurate visualization, relatively good reference measurements at optimal locations are required. For some very small motors, the optimal position for a stationary reference…
W. Owen Brimijoin
The minimum audible movement angle increases as a function of source azimuth. If listeners do not perceptually compensate for this change in acuity, then sounds rotating around the head should appear to move faster at the front than at the side. We examined whether judgments of relative amounts of acoustic motion…
Woon Ju Park, Ione Fine
Motion detection is a fundamental property of the visual system that plays an important role across many of the human senses. In vision, motion processing is classically described using a motion energy model which assumes spatiotemporally selective (i.e., non-separable) filters that capture the smooth continuous change…
M. Torben Pastore, William A. Yost, Philip H.S. Jen
Stationary visual targets often become far more salient when they move against an otherwise static background-the so-called “pop out” effect. In two experiments conducted over loudspeakers, we tested for a similar pop-out effect in the auditory domain. Tone-in-noise and noise-in-noise detection thresholds were measured…
Stefano Damiano, Kathleen MacWilliam, Valerio Lorenzoni, Thomas Dietzen + 1 more
'Thomas Dietzen' 'Toon van Waterschoot'] Data availability is essential to develop acoustic signal processing algorithms, especially when it comes to data-driven approaches that demand large and diverse training datasets. For this reason, an increasing number of databases have been published in recent years, including…
Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Shoko Araki
—Beamforming is a powerful tool designed to enhance speech signals from the direction of a target source. Computing the beamforming filter requires estimating spatial covariance matrices (SCMs) of the source and noise signals. Time-frequency masks are often used to compute these SCMs. Most studies of mask-based…
Andrzej Staniek, Magdalena Miterska
Objectives: A problem currently faced in the assessment of human exposure to the external environment concerns sources of noise with significant energy found in the range of infrasound and low sound frequencies. This paper presents an analysis of selected low-frequency noise (LFN) sources in order to demonstrate the…
Wenchao Bao, Quan An, Ye Guo, Lujun Wang + 2 more
'Fateh Bouchaala'] Analysis of the continuous ambient noise data collected by a dense network of broadband seismic stations reveals the characteristics of ambient noise in densely populated urban areas. A study conducted in central Inner Mongolia utilized ten broadband stations to investigate two distinct repetitive…
Naveen Kumar, Rakshita Pritam Singh Dhar, César Pascual García, Vihar Georgiev
Protein sequencing is an important key to personalized medicines, but the process is complex enough to halt the ongoing progress in proteomics. In this paper, we have proposed a novel simulation methodology for the detection of oligopeptide fingerprints using a Field-Effect-Transistor. In our approach, the…
Tristan A Chaplin, Benjamin J Allitt, Maureen A Hagan, Marcello GP Rosa + 2 more
The integration of multiple sensory modalities is one of the key aspects of brain function, allowing animals to take advantage of concurrent sources of information to make more accurate perceptual judgments. For many years, it was thought that multisensory integration in the cerebral cortex only occurs in high-level…
James Traer, Sam V. Norman-Haignere, Josh H. McDermott
Sound is caused by physical events in the world. Do humans infer these causes when recognizing sound sources? We tested whether the recognition of common environmental sounds depends on the inference of a basic physical variable – the source intensity (i.e., the power that produces a sound). A source’s intensity can be…
Authors not listed
Electrochemical impedance spectroscopy (EIS) is one of the most widely deployed methods to characterise electrochemical systems such as batteries, fuel cells or electrolyzers. The distribution of relaxation times (DRT) represents a technique to simplify EIS data by deconvolution with a suitable kernel, while with…
Keisuke Ozawa
Statistically weighted principal component analysis (wPCA) is widely used to reduce the noise of scanning transmission electron microscopy-energy-dispersive X-ray (STEM-EDX) spectroscopy data. It is beneficial to retain the spatial resolution of observation in each step of the analysis, but the direct application of…
Jiyizhe Zhang, Daria Semochkina, Naoto Sugisawa, David Woods + 1 more
Multi-objective Bayesian optimization (MOBO) has shown to be a promising tool for reaction development. However, noise is usually unavoidable during experiments and makes it challenging to find reliable solutions. In this study, we focus on finding a set of optimal reaction conditions using multi-objective Euclidian…