Results 1 to 10 of about 2,059 (110)
Forest Sound Classification Dataset: FSC22
The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques.
Meelan Bandara +4 more
doaj +5 more sources
A CNN Sound Classification Mechanism Using Data Augmentation
Sound classification has been widely used in many fields. Unlike traditional signal-processing methods, using deep learning technology for sound classification is one of the most feasible and effective methods.
Hung-Chi Chu +2 more
doaj +3 more sources
Open set classification of sound event
Sound is one of the primary forms of sensory information that we use to perceive our surroundings. Usually, a sound event is a sequence of an audio clip obtained from an action.
Jie You, Wenqin Wu, Joonwhoan Lee
doaj +3 more sources
In view of the limited number of extracted sound features, the lack of in-depth analysis of applicable sound features, and the lack of in-depth study of the selection basis and optimization process of classification models in the existing broiler sound ...
Weige Tao +5 more
doaj +3 more sources
Classification of Heart Sound Signal Using Multiple Features
Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic ...
Yaseen, Gui-Young Son, Soonil Kwon
doaj +3 more sources
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 used for surveillance, monitoring, and maintenance applications in
Ruba Zaheer +4 more
doaj +1 more source
Improving Universal Sound Separation Using Sound Classification [PDF]
Deep learning approaches have recently achieved impressive performance on both audio source separation and sound classification. Most audio source separation approaches focus only on separating sources belonging to a restricted domain of source classes, such as speech and music.
Efthymios Tzinis +4 more
openaire +2 more sources
Comparison of Pre-Trained CNNs for Audio Classification Using Transfer Learning
The paper investigates retraining options and the performance of pre-trained Convolutional Neural Networks (CNNs) for sound classification. CNNs were initially designed for image classification and recognition, and, at a second phase, they extended ...
Eleni Tsalera +2 more
doaj +1 more source
A Review of Automated Bioacoustics and General Acoustics Classification Research
Automated bioacoustics classification has received increasing attention from the research community in recent years due its cross-disciplinary nature and its diverse application.
Leah Mutanu +4 more
doaj +1 more source
Passive acoustic monitoring, a non‐invasive technique, is increasingly used to study animal populations and habitats at much larger spatial and temporal scales than standard methods.
Bruno Silva +4 more
doaj +1 more source

