Results 41 to 50 of about 313,816 (278)
Robust Sound Event Detection in Continuous Audio Environments [PDF]
Sound event detection in real world environments has attracted significant research interest recently because of it's applications in popular fields such as machine hearing and automated surveillance, as well as in sound scene understanding.
McLoughlin, Ian Vince +2 more
core +1 more source
Sound Event Detection for Human Safety and Security in Noisy Environments
The objective of a sound event detector is to recognize anomalies in an audio clip and return their onset and offset. However, detecting sound events in noisy environments is a challenging task. This is due to the fact that in a real audio signal several
Michael Neri +3 more
doaj +1 more source
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results [PDF]
As part of the 2016 public evaluation challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2016), the second task focused on evaluating sound event detection systems using synthetic mixtures of office sounds.
Benetos, Emmanouil +2 more
core +1 more source
Frequency-dependent auto-pooling function for weakly supervised sound event detection
Sound event detection (SED), which is typically treated as a supervised problem, aims at detecting types of sound events and corresponding temporal information. It requires to estimate onset and offset annotations for sound events at each frame.
Sichen Liu +3 more
doaj +1 more source
Threshold Independent Evaluation of Sound Event Detection Scores
accepted for ICASSP ...
Ebbers, Janek +2 more
openaire +3 more sources
Continuous robust sound event classification using time-frequency features and deep learning.
The automatic detection and recognition of sound events by computers is a requirement for a number of emerging sensing and human computer interaction technologies.
Ian McLoughlin +5 more
doaj +1 more source
Sound Event Localization and Detection Using Imbalanced Real and Synthetic Data via Multi-Generator
This study proposes a sound event localization and detection (SELD) method using imbalanced real and synthetic data via a multi-generator. The proposed method is based on a residual convolutional neural network (RCNN) and a transformer encoder for real ...
Yeongseo Shin, Chanjun Chun
doaj +1 more source
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes [PDF]
This paper is about alerting acoustic event detection and sound source localisation in an urban scenario. Specifically, we are interested in spotting the presence of horns, and sirens of emergency vehicles.
Marchegiani, Letizia, Newman, Paul
core +2 more sources
Sound Event Detection Employing Segmental Model
Segmental models compute likelihood scores in segment units instead of frame units to recognize sequence data. Motivated by some promising results in speech recognition and natural language processing, we apply segmental models to sound event detection ...
Yong-Joo Chung
doaj +1 more source
This paper proposes an effective modelling of sound event spectra with a hidden data-size-imbalance, for improved Acoustic Event Detection (AED). The proposed method models each event as an aggregated representation of a few latent factors, while ...
Komatsu, Tatsuya +2 more
core +1 more source

