[HTML][HTML] Environmental Sound Classification: A descriptive review of the literature
Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …
research as most of the traditional studies are focused on speech and music signals …
A survey on artificial intelligence-based acoustic source identification
The concept of Acoustic Source Identification (ASI), which refers to the process of identifying
noise sources has attracted increasing attention in recent years. The ASI technology can be …
noise sources has attracted increasing attention in recent years. The ASI technology can be …
Evaluating the performance of pre-trained convolutional neural network for audio classification on embedded systems for anomaly detection in smart cities
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
Accurate segmentation of the region of interest in medical images can provide an essential
pathway for devising effective treatment plans for life-threatening diseases. It is still …
pathway for devising effective treatment plans for life-threatening diseases. It is still …
[HTML][HTML] BanglaSER: A speech emotion recognition dataset for the Bangla language
The speech emotion recognition system determines a speaker's emotional state by
analyzing his/her speech audio signal. It is an essential at the same time a challenging task …
analyzing his/her speech audio signal. It is an essential at the same time a challenging task …
Signal latent subspace: A new representation for environmental sound classification
In this study, we propose Signal Latent Subspace (SLS), a flexible method that classifies
environmental sound events using the subspace representations of latent features obtained …
environmental sound events using the subspace representations of latent features obtained …
Mosaic: A classical machine learning multi-classifier based approach against deep learning classifiers for embedded sound classification
Environmental Sound Recognition has become a relevant application for smart cities. Such
an application, however, demands the use of trained machine learning classifiers in order to …
an application, however, demands the use of trained machine learning classifiers in order to …
IoT-cloud based traffic honk monitoring system: empowering participatory sensing
The honking events' density reflects the level of traffic noise pollution, road congestion, etc in
the urban areas. In this paper, we propose a participatory sensing based traffic honk …
the urban areas. In this paper, we propose a participatory sensing based traffic honk …
DeHonk: A deep learning based system to characterize vehicular honks in presence of ambient noise
Noise pollution, a growing problem in urban cities, causes severe and long-term health
problems. Vehicles on the road and ceaseless honking add to incessant vehicular assault …
problems. Vehicles on the road and ceaseless honking add to incessant vehicular assault …
Wind sounds classification using different audio feature extraction techniques
SAW Saddam - Informatica, 2022 - informatica.si
In this research, Different audio feature extraction technique are implemented and
classification approaches are presented to classify seven types of wind. Where we applied …
classification approaches are presented to classify seven types of wind. Where we applied …