Results 31 to 40 of about 860,247 (286)
Impact of multiple sound types on environmental sound classification
2016 IEEE SENSORS, 2016 A wireless sensor network equipped with microphones can be used for context awareness by classifying sound events in the target environment. This classification will become less accurate when more than one sound can be heard at the same time. We conduct a series of experiments in which we mix different sound types in order to see how high this ...
Etto L. Salomons +2 more
openaire +2 more sources
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 There are many sounds all around us and our brain can easily and clearly identify them. Furthermore, our brain processes the received sound signals continuously and provides us with relevant environmental knowledge. Although not up to the level of accuracy of the brain, there are some smart devices which can extract necessary information from an audio ...
Pravisha Desale +2 more
openaire +1 more source
Feedback Module Based Convolution Neural Networks for Sound Event Classification
IEEE Access, 2021 Sound event classification is starting to receive a lot of attention over the recent years in the field of audio processing because of open datasets, which are recorded in various conditions, and the introduction of challenges.
Gwantae Kim, David K. Han, Hanseok Ko
doaj +1 more source
Sensors, 2018 The analysis and classification of the sounds produced by certain animal species, notably anurans, have revealed these amphibians to be a potentially strong indicator of temperature fluctuations and therefore of the existence of climate change ...
Amalia Luque +3 more
doaj +1 more source
Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Bioengineering, 2023 The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
doaj +1 more source
Improving Classification Algorithms by Considering Score Series in Wireless Acoustic Sensor Networks
Sensors, 2018 The reduction in size, power consumption and price of many sensor devices has enabled the deployment of many sensor networks that can be used to monitor and control several aspects of various habitats.
Amalia Luque +3 more
doaj +1 more source
A joint separation-classification model for sound event detection of weakly labelled data [PDF]
, 2018 Source separation (SS) aims to separate individual sources from an audio recording. Sound event detection (SED) aims to detect sound events from an audio recording.
Kong, Qiuqiang +3 more
core +2 more sources
Robust Sound Event Classification using Deep Neural Networks [PDF]
, 2015 The automatic recognition of sound events by computers is an important aspect of emerging applications such as automated surveillance, machine hearing and auditory scene understanding.
McLoughlin, Ian Vince +4 more
core +1 more source
Applying supervised classifiers based on non-negative matrix factorization to musical instrument classification [PDF]
, 2006 In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individually, whilst during the test phase each test recording is projected onto the ...
Benetos, E., Kotropoulos, C., Kotti, M.
core +1 more source
Unsupervised Learning of Semantic Audio Representations
, 2017 Even in the absence of any explicit semantic annotation, vast collections of audio recordings provide valuable information for learning the categorical structure of sounds.
Ellis, Daniel P. W. +7 more
core +1 more source