In the field of room acoustics, the modulation transfer function (MTF) can be used to predict speech intelligibility in stationary noise and reverberation and can be expressed in one single value: the Speech Transmission Index (STI). One drawback of the classical STI measurement method is that it is not validated for fluctuating background noise. As opposed to the classical measurement method, the MTF due to reverberation can also be calculated using an impulse response measurement. This indirect method presents an opportunity for STI measurements in fluctuating noise, and a first prerequisite is a reliable impulse response measurement. The conditions under which the impulse response can be measured with sufficient precision were investigated in the current study. Impulse response measurements were conducted using a sweep stimulus. Two experiments are discussed with variable absorption, different levels of stationary and fluctuating background noise, and different sweep levels. Additionally, simulations with different types of fluctuating noise were conducted in an attempt to extrapolate the experimental findings to other acoustical conditions. The experiments and simulations showed that a minimum impulse-to-noise ratio of +25 dB in fluctuating noise was needed.
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http://dx.doi.org/10.1121/1.4976050 | DOI Listing |
ACS Appl Mater Interfaces
December 2024
Department of Electronic Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju 54896, Republic of Korea.
In this study, we investigate the origins of low-frequency noise (LFN) and 1/ noise in CuO thin-film transistors (TFTs). The static direct current (DC) - characterization demonstrates that the channel resistance () contributes significantly to mobility degradation in the TFTs, with channel thickness () controlled through the plasma-enhanced atomic layer deposition (PEALD) process. The 1/ noise followed the Hooge mobility fluctuation (HMF) model, and it was observed that both Coulomb and phonon scattering within the channel, which increased with a decrease in , contributed simultaneously.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Physics and Network Biology Research Laboratories, Technion-Israel Institute of Technology, Haifa 32000, Israel.
Animal morphogenesis, the development of an organism's body form, is commonly perceived as a directed and almost deterministic process. However, noise and stochastic fluctuations are ubiquitous in biological systems. The questions on the role of fluctuations in morphogenesis and what ensures the robustness of this process under noisy conditions remain elusive.
View Article and Find Full Text PDFSci Rep
December 2024
School of Civil Engineering, Chongqing Three Gorges University, Chongqing, 404100, China.
Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou station in the Three Gorges Reservoir area as a case study to optimize various prediction models. The study first selects artificial neural network (ANN) and support vector machine (SVM) as the base models.
View Article and Find Full Text PDFSci Rep
December 2024
School of Computer Science Engineering and Information Systems , Vellore Institute of Technology, Vellore, India.
Our day-to-day lives have become comfortable and sophisticated with many recent technologies. Likewise, today's world has been enhanced by new innovative technologies. Everyone is moving towards smart cities and smart homes.
View Article and Find Full Text PDFSmall
December 2024
State Key Laboratory of Precision Measurement Technology and Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Developing miniaturized low-frequency acoustic sensors with high sensitivity is crucial for diverse applications, including geological monitoring and aerospace exploration. However, the performance of low-frequency acoustic sensor is constrained by the limited mechanical robustness of traditional sensing films at nanoscale thickness. Here, a functionalized graphene oxide (GO)-based Fabry-Perot (FP) low-frequency sensor is proposed, with characteristics of compact size, resistance to electromagnetic interference high-sensitivity low minimum detectable pressure (MDP), and a high signal-to-noise ratio (SNR).
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