ViSQOL: an objective speech quality model

A Hines, J Skoglund, AC Kokaram, N Harte - EURASIP Journal on Audio …, 2015 - Springer
This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality
Objective Listener. It is a signal-based, full-reference, intrusive metric that models human …

CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction

S Galan, N Machnik, K Kruse, N Díaz… - Nature …, 2020 - nature.com
Dynamic changes in the three-dimensional (3D) organization of chromatin are associated
with central biological processes, such as transcription, replication and development …

[HTML][HTML] Evaluation of SSIM loss function in RIR generator GANs

M Pekmezci, Y Genc - Digital Signal Processing, 2024 - Elsevier
This study explores the potential of integrating the structural similarity (SSIM) as a loss
function within generative adversarial networks (GANs) to enhance the generation of room …

Hivemind: social control-and-use of IoT towards democratization of public spaces

W Kim, S Lee, Y Chang, T Lee, I Hwang… - Proceedings of the 19th …, 2021 - dl.acm.org
Public spaces are equipped with'public actuators', eg, HVAC, lighting fixtures, speakers, or
streaming TV channels to ensure their visitors' comfort. However, many public actuators …

Refinement of spectra using a deep neural network: Fully automated removal of noise and background

MT Gebrekidan, C Knipfer… - Journal of Raman …, 2021 - Wiley Online Library
We report the potential of U‐Net deep neural network for the efficient removal of noise and
background from raw Raman spectra. The U‐Net method was first trained on simulated …

A committee evolutionary neural network for the prediction of combined sewer overflows

TR Rosin, M Romano, E Keedwell… - Water Resources …, 2021 - Springer
Abstract Combined Sewer Overflows (CSOs) are a major source of pollution and urban
flooding, spilling untreated wastewater directly into water bodies and the surrounding …

Deep-learning based adaptive ultrasound imaging from sub-nyquist channel data

A Mamistvalov, A Amar, N Kessler… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traditional beamforming of medical ultrasound images relies on sampling rates significantly
higher than the actual Nyquist rate of the received signals. This results in large amounts of …

Sample-efficient deep learning for accelerating photonic inverse design

R Hegde - OSA Continuum, 2021 - opg.optica.org
Data-driven techniques like deep learning (DL) are currently being explored for inverse
design problems in photonics (especially nanophotonics) to deal with the vast search space …

Aeroacoustics research in Europe: The CEAS-ASC report on 2013 highlights

GJ Bennett, J Kennedy, C Meskell, M Carley… - Journal of Sound and …, 2015 - Elsevier
Abstract The Council of European Aerospace Societies (CEAS) Aeroacoustics Specialists
Committee (ASC) supports and promotes the interests of the scientific and industrial …

Acoustical gas-leak detection in the presence of multiple reflections, dispersion, and uncorrelated noise using optimized residual complexity

AM Ahmadi, A Amjadi, AR Bahrampour… - The Journal of the …, 2016 - pubs.aip.org
Precise acoustical leak detection calls for robust time-delay estimates, which minimize the
probability of false alarms in the face of dispersive propagation, multiple reflections, and …