Results 11 to 20 of about 232,569 (291)

Trait anxiety modulates the detection sensitivity of negative affect in speech: an online pilot study

open access: yesFrontiers in Behavioral Neuroscience, 2023
Acoustic perception of emotions in speech is relevant for humans to navigate the social environment optimally. While sensory perception is known to be influenced by ambient noise, and bodily internal states (e.g., emotional arousal and anxiety), their ...
Achyuthanand K   +3 more
doaj   +1 more source

Preprocessing Acoustic Emission Signal of Broken Wires in Bridge Cables

open access: yesApplied Sciences, 2022
Bridges, especially cable-stayed bridges, play an important role in modern transportation systems. The safety status of bridge cables, as an important component of cable-stayed bridges, determines the health status of the entire bridge.
Guangming Li   +4 more
doaj   +1 more source

Detection and Feature Extraction in Acoustic Sensor Signals

open access: yesSensors, 2023
Our advances in detection and feature extraction in the processing of acoustic signals allow us to capture more information about a target and extract features with separability [...]
Yuxing Li, Luca Fredianelli
openaire   +3 more sources

Power Transformers OLTC Condition Monitoring Based on Feature Extraction from Vibro-Acoustic Signals: Main Peaks and Euclidean Distance

open access: yesSensors, 2023
The detection of On-Load Tap-Changer (OLTC) faults at an early stage plays a significant role in the maintenance of power transformers, which is the most strategic component of the power network substations.
Fataneh Dabaghi-Zarandi   +5 more
doaj   +1 more source

Automatic Cough Detection in Acoustic Signal using Spectral Features [PDF]

open access: yes2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Cough is a common symptom that manifests in numerous respiratory diseases. In chronic respiratory diseases, such as asthma and COPD, monitoring of cough is an integral part in managing the disease. This paper presents an algorithm for automatic detection of cough events from acoustic signals.
Adhi Pramono, RX   +2 more
openaire   +3 more sources

Capturing mobile underwater pseudonoise synchronous signal using multi‐strategy in waveform domain

open access: yesElectronics Letters, 2023
Capturing pseudonoise (PN) synchronous signals is an important issue in spreading spectrum underwater acoustic communication. In this letter, local waveform domain information is combined with multi‐strategy to enhance the Doppler tolerance of ...
Yaohui Hu   +3 more
doaj   +1 more source

VLSI implementation of an energy-aware wake-up detector for an acoustic surveillance sensor network [PDF]

open access: yes, 2006
We present a low-power VLSI wake-up detector for a sensor network that uses acoustic signals to localize ground-base vehicles. The detection criterion is the degree of low-frequency periodicity in the acoustic signal, and the periodicity is computed from
Andreou, Andreas   +5 more
core   +1 more source

Acoustic wave detection of laser shock peening

open access: yesOpto-Electronic Advances, 2018
In order to overcome the existing disadvantages of offline laser shock peening detection methods, an online detection method based on acoustic wave signals energy is provided.
Wu Jiajun   +5 more
doaj   +1 more source

Deep Acoustic Emission Detection Trained on Seismic Signals

open access: yes, 2023
In the structural health monitoring field, the acoustic emission technique (AE) is one of the most important and extensively applied methods. AE is a non-destructive testing (NDT) method which investigates acoustic ultrasonic waves caused by a sudden energy release due to cracks and micro-cracks opening in the investigated material that can be analyzed
Melchiorre J.   +5 more
openaire   +1 more source

A target guided subband filter for acoustic event detection in noisy environments using wavelet packets [PDF]

open access: yes, 2014
This paper deals with acoustic event detection (AED), such as screams, gunshots, and explosions, in noisy environments. The main aim is to improve the detection performance under adverse conditions with a very low signal-to-noise ratio (SNR).
Feng, Zu-Ren   +4 more
core   +1 more source

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