Environmental sound classification using a regularized deep convolutional neural network with data augmentation
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107389
Abstract: Abstract The adoption of the environmental sound classification (ESC) tasks increases very rapidly over recent years due to its broad range of applications in our daily routine life. ESC is also known as Sound Event… read more here.
Keywords: sound classification; classification; deep convolutional; convolutional neural ... See more keywords
A novel spiral pattern and 2D M4 pooling based environmental sound classification method
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107508
Abstract: Abstract One of the crucial problems of the signal processing, digital forensics and machine learning is the environmental sound classification (ESC). Several ESC methods have been presented to obtain highly accurate model. In this work,… read more here.
Keywords: sound classification; classification; pattern pooling; environmental sound ... See more keywords
A new pyramidal concatenated CNN approach for environmental sound classification
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107520
Abstract: Abstract Recently, there has been an incremental interest on Environmental Sound Classification (ESC), which is an important topic of the non-speech audio classification task. A novel approach, which is based on deep Convolutional Neural Networks… read more here.
Keywords: sound classification; classification; feature; environmental sound ... See more keywords
FusedTSNet: An automated nocturnal sleep sound classification method based on a fused textural and statistical feature generation network
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107559
Abstract: Abstract Nowadays, many people have suffered from sleep disorders. These diseases affect daily life and can disrupt sanity. Sleep disorders/diseases can be diagnosed by using nocturnal sleep sounds. This work presents an automated nocturnal sound… read more here.
Keywords: sound classification; classification; classification method; method ... See more keywords
Ensemble of handcrafted and deep features for urban sound classification
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DOI: 10.1016/j.apacoust.2020.107819
Abstract: Abstract The urban sound classification has a strong relation with feature extraction. In this paper, we present a compact and effective representation capable of characterizing different urban sounds based on deep and handcrafted features combination.… read more here.
Keywords: sound classification; classification; ensemble handcrafted; urban sound ... See more keywords
Application of substitution box of present cipher for automated detection of snoring sounds
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102085
Abstract: BACKGROUND AND PURPOSE Snoring is one of the sleep disorders, and snoring sounds have been used to diagnose many sleep-related diseases. However, the snoring sound classification is done manually which is time-consuming and prone to… read more here.
Keywords: sound classification; snoring sound; model; substitution box ... See more keywords
Attention based convolutional recurrent neural network for environmental sound classification
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.069
Abstract: Abstract Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The classification performance is heavily dependent on the effectiveness of representative features extracted from the environmental sounds. However, ESC often… read more here.
Keywords: sound classification; classification; network; convolutional recurrent ... See more keywords
Detection of pathological heart sounds.
Sign Up to like & getrecommendations! Published in 2017 at "Physiological measurement"
DOI: 10.1088/1361-6579/aa7840
Abstract: Heart sound analysis has been a major topic of research over the past few decades. However, the necessity for a large and reliable database has been a major concern in these studies. OBJECTIVE Noting that… read more here.
Keywords: heart sound; sound classification; heart; heart sounds ... See more keywords
A New Deep CNN Model for Environmental Sound Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984903
Abstract: Cognitive prediction in the complicated and active environments is of great importance role in artificial learning. Classification accuracy of sound events has a robust relation with the feature extraction. In this paper, deep features are… read more here.
Keywords: environmental sound; classification; cnn model; sound classification ... See more keywords
Environmental Sound Classification With Low-Complexity Convolutional Neural Network Empowered by Sparse Salient Region Pooling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232807
Abstract: Environmental Sound Classification (ESC) is an important field in a broad range of applications, such as smart cities, audio surveillance, and health care. Recently, Convolutional Neural Networks (CNNs) have taken the lead from traditional approaches… read more here.
Keywords: environmental sound; classification; convolutional neural; sound classification ... See more keywords
An 800 nW Switched-Capacitor Feature Extraction Filterbank for Sound Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.3047035
Abstract: This paper presents a 32-channel analog filterbank for front-end signal processing in sound classification systems. It employs a passive N-path switched capacitor topology to achieve high power efficiency and reconfigurability. The circuit’s unwanted harmonic mixing… read more here.
Keywords: tex math; feature extraction; switched capacitor; sound classification ... See more keywords