Results 41 to 50 of about 119,470 (290)
An acoustic surveillance system for critical event detection
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 In this paper, a novel acoustic surveillance system, that can be used in critical facilities and infrastructures, border security and public premises is introduced. As an application, an acoustic surveillance system that detects gunshots from recorded acoustic signals, and identifies the originating weapon type is selected.
Guneren, Hilal +3 more
openaire +2 more sources
VINEDA—Volcanic INfrasound Explosions Detector Algorithm
Frontiers in Earth Science, 2019 Infrasound is an increasingly popular tool for volcano monitoring, providing insights of the unrest by detecting and characterizing acoustic waves produced by volcanic processes, such as explosions, degassing, rockfalls, and lahars.
Angel Bueno +8 more
doaj +1 more source
Compression of Acoustic Event Detection Models with Quantized Distillation [PDF]
Interspeech 2019, 2019 Acoustic Event Detection (AED), aiming at detecting categories of events based on audio signals, has found application in many intelligent systems. Recently deep neural network significantly advances this field and reduces detection errors to a large scale.
Shi, Bowen +5 more
openaire +2 more sources
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging [PDF]
, 2016 Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio tagging in two parts, respectively, acoustic modeling and feature learning.
Foster, Peter +6 more
core +3 more sources
Semi-supervised Acoustic Event Detection Based on Tri-training [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 This paper presents our work of training acoustic event detection (AED) models using unlabeled dataset. Recent acoustic event detectors are based on large-scale neural networks, which are typically trained with huge amounts of labeled data. Labels for acoustic events are expensive to obtain, and relevant acoustic event audios can be limited, especially
Shi, Bowen +5 more
openaire +2 more sources
You-qi chuyun, 2021 Pipeline transportation is the most common means used in the petroleum industry, and its safety monitoring has attracted wide attention from the domestic and foreign researchers.
Rongbing LIN +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
DCASE 2018 Challenge Surrey Cross-Task convolutional neural network baseline [PDF]
, 2018 The Detection and Classification of Acoustic Scenes and Events (DCASE) consists of five audio classification and sound event detection tasks: 1) Acoustic scene classification, 2) General-purpose audio tagging of Freesound, 3) Bird audio detection, 4 ...
Iqbal, Turab +4 more
core +1 more source
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging [PDF]
, 2017 Audio tagging aims to perform multi-label classification on audio chunks and it is a newly proposed task in the Detection and Classification of Acoustic Scenes and Events 2016 (DCASE 2016) challenge.
Huang, Qiang +4 more
core +2 more sources
Advanced Engineering Materials, EarlyView.Four‐point bending tests are conducted in an argon atmosphere on commercial MgO‐C brick grades with and without MgO‐C recyclate from room temperature up to 1300 °C. No detrimental effect of the MgO‐C recyclates on bending strength is found. Instead, a decisive influence of the total carbon content is observed, with lower total carbon contents ...
Alexander Schramm +5 more
wiley +1 more source