Audio Spectrogram Recognition with Neural Networks
Audio Spectrogram Recognition with Neural Networks
Artificial neural networks interest many researchers for recent years, they are employed in a varietyof sectors, including image processing, signal processing, handwriting recognition, and facial recognition.Sound recognition is a popular application of neural networks, which has sparked a lot ofinterest.In this article, we will elaborate in the first part the audio classification, by presenting the differenttechniques of audio classification that are used. In the second part, we will present the ConvolutionalNeural Network and the Spiking Neural Network. Finally, we will conclude by citing the current workwhich is in progress related to audio classification using both these two types of neural networks.This work is in part supported by the European Prima S1\WATERMED 4.0 project for agriculture in semi-arid areas and the French ANR-21-CE04-0020 ULP COCHLEA for nano acoustic sensors and biodiversity.
- University of Oran Algeria
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Spiking Neural Networks (SNN), Automatic Sound Classification Convolutional Neural Network (CNN) Spiking Neural Networks (SNN) Natural Computing, Automatic Sound Classification, Convolutional Neural Network (CNN), Natural Computing
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Spiking Neural Networks (SNN), Automatic Sound Classification Convolutional Neural Network (CNN) Spiking Neural Networks (SNN) Natural Computing, Automatic Sound Classification, Convolutional Neural Network (CNN), Natural Computing
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