Applied Acoustics

Papers
(The H4-Index of Applied Acoustics is 42. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Fault diagnosis of angle grinders and electric impact drills using acoustic signals124
Design, fabrication and sound absorption test of composite porous metamaterial with embedding I-plates into porous polyurethane sponge114
An underwater metamaterial for broadband acoustic absorption at low frequency107
Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images103
Environmental sound classification using a regularized deep convolutional neural network with data augmentation93
Improved speech emotion recognition with Mel frequency magnitude coefficient87
Spectral images based environmental sound classification using CNN with meaningful data augmentation84
The detection of Parkinson disease using the genetic algorithm and SVM classifier81
Complex band structure and evanescent Bloch wave propagation of periodic nested acoustic black hole phononic structure81
Elastic wave modulation of double-leaf ABH beam embedded mass oscillator80
A new pyramidal concatenated CNN approach for environmental sound classification75
Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization75
Underwater target recognition using convolutional recurrent neural networks with 3-D Mel-spectrogram and data augmentation68
A novel complexity-based mode feature representation for feature extraction of ship-radiated noise using VMD and slope entropy66
Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review65
Low-frequency sound absorption of a metamaterial with symmetrical-coiled-up spaces63
Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition63
A modified feature selection method based on metaheuristic algorithms for speech emotion recognition58
Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump58
Glance and gaze: A collaborative learning framework for single-channel speech enhancement57
A review of audio-visual interaction on soundscape assessment in urban built environments55
Feature extraction method for classification of alertness and drowsiness states EEG signals55
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN55
Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks54
Variability of room acoustic parameters with thermo-hygrometric conditions51
Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo-labeling51
A systematic review of prediction models for the experience of urban soundscapes50
Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features49
A lightweight multilayer honeycomb membrane-type acoustic metamaterial48
A Fourier transform based audio watermarking algorithm48
Speech enhancement using progressive learning-based convolutional recurrent neural network46
Aeroacoustic design and characterization of the 3D-printed, open-jet, anechoic wind tunnel of Delft University of Technology46
Artificial neural network-based models for predicting the sound absorption coefficient of electrospun poly(vinyl pyrrolidone)/silica composite45
Indoor soundscapes at home during the COVID-19 lockdown in London – Part I: Associations between the perception of the acoustic environment, occupantś activity and well-being44
Sound absorption performance of a filled honeycomb composite structure44
Does social perception data express the spatio-temporal pattern of perceived urban noise? A case study based on 3,137 noise complaints in Fuzhou, China44
A sound based method for fault detection with statistical feature extraction in UAV motors44
Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical basis function network class44
Modelling sound absorption properties of broom fibers using artificial neural networks44
Experimental investigation of underwater locally multi-resonant metamaterials under high hydrostatic pressure for low frequency sound absorption43
Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features42
Restorative effects of urban park soundscapes on children’s psychophysiological stress42
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