Results 11 to 20 of about 119,470 (290)

Acoustic feature-based leakage event detection in near real-time for large-scale water distribution networks

open access: yesJournal of Hydroinformatics, 2023
Acoustic sensors are widely deployed to detect hidden leakages in water distribution networks (WDNs). However, few studies have been conducted to quantitatively understand the dominant leakage acoustic characteristics, which are usually mixed with ...
Alvin Wei Ze Chew   +5 more
doaj   +1 more source

An Analysis of Sound Event Detection under Acoustic Degradation Using Multi-Resolution Systems

open access: yesApplied Sciences, 2021
The Sound Event Detection task aims to determine the temporal locations of acoustic events in audio clips. In recent years, the relevance of this field is rising due to the introduction of datasets such as Google AudioSet or DESED (Domestic Environment ...
Diego de Benito-Gorrón   +2 more
doaj   +1 more source

Sound Event Joint Estimation Method Based on Three-dimension Convolution [PDF]

open access: yesJisuanji kexue, 2023
Sound event localization and detection(SELD) is widely used in monitoring and anomaly detection tasks.Deep learning methods represented by convolutional recurrent neural networks(CRNN) can be realized to improve the performance of SELD.In order to ...
MEI Pengcheng, YANG Jibin, ZHANG Qiang, HUANG Xiang
doaj   +1 more source

A Multi-Resolution CRNN-Based Approach for Semi-Supervised Sound Event Detection in DCASE 2020 Challenge

open access: yesIEEE Access, 2021
Sound Event Detection is a task with a rising relevance over the recent years in the field of audio signal processing, due to the creation of specific datasets such as Google AudioSet or DESED (Domestic Environment Sound Event Detection) and the ...
Diego De Benito-Gorron   +2 more
doaj   +1 more source

Confidence Based Acoustic Event Detection [PDF]

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Acoustic event detection, the determination of the acoustic event type and the localisation of the event, has been widely applied in many real-world applications. Many works adopt the multi-label classification technique to perform the polyphonic acoustic event detection with a global threshold to detect the active acoustic events.
Xianjun Xia   +3 more
openaire   +1 more source

Data-Dependent Feature Extraction Method Based on Non-Negative Matrix Factorization for Weakly Supervised Domestic Sound Event Detection

open access: yesApplied Sciences, 2021
In this paper, feature extraction methods are developed based on the non-negative matrix factorization (NMF) algorithm to be applied in weakly supervised sound event detection. Recently, the development of various features and systems have been attempted
Seokjin Lee   +4 more
doaj   +1 more source

A System for the Detection of Polyphonic Sound on a University Campus Based on CapsNet-RNN

open access: yesIEEE Access, 2021
In recent decades, surveillance and home security systems based on video analysis have been proposed for the automatic detection of abnormal situations.
Liyan Luo   +6 more
doaj   +1 more source

A Comparative Survey of Feature Extraction and Machine Learning Methods in Diverse Acoustic Environments

open access: yesSensors, 2021
Acoustic event detection and analysis has been widely developed in the last few years for its valuable application in monitoring elderly or dependant people, for surveillance issues, for multimedia retrieval, or even for biodiversity metrics in natural ...
Daniel Bonet-Solà   +1 more
doaj   +1 more source

Few-Shot Acoustic Event Detection Via Meta Learning [PDF]

open access: yesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
ICASSP ...
Shi, Bowen   +5 more
openaire   +2 more sources

Learning Target Template for Acoustic Event Detection From Low-SNR Training Data

open access: yesIEEE Access, 2021
Acoustic events of interest sometimes are inherently intermixed with strong background noise, like underwater sounds or mechanical fault signals. The noise usually creates a low-SNR scenario, making it more difficult to detect the events of interest ...
Xiaodong Ren   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy