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Urban Sound Classification using Convolutional Neural ...
https://medium.com/gradientcrescent/urban-sound-classification-using-convolutional-neural-networks-with-keras-theory-and-486e92785df4#:~:text=It%20may%20seem%20not%20intuitive%20to%20utilize%20convolutional,in%20frequency%20%28Hz%29%20and%20intensity%2Floudness%20%28dB%29%20over%20time.
Audio Classification : A Convolutional Neural Network ...
https://medium.com/@CVxTz/audio-classification-a-convolutional-neural-network-approach-b0a4fce8f6c
Audio Classification : A Convolutional Neural Network Approach. Audio Classification can be used for audio scene understanding which in turn is important so that an artificial agent is able to ...
A Deep Neural Network for Audio Classification with a ...
https://deepai.org/publication/a-deep-neural-network-for-audio-classification-with-a-classifier-attention-mechanism
Audio classification is considered as a challenging problem in pattern recognition. Recently, many algorithms have been proposed using deep neural networks. In this paper, we introduce a new attention-based neural network architecture called Classifier-Attention-Based Convolutional Neural Network (CAB-CNN). The algorithm uses a newly designed architecture …
Recurrent Neural Nets for Audio Classification | by Papia ...
https://towardsdatascience.com/recurrent-neural-nets-for-audio-classification-81cb62327990
Recurrent Neural Nets. RNNs or Recurrent Neural nets are a type of deep learning algorithm that can remember sequences. ... That’s the case for this classification problem where each audio sample belongs to one species. Fit the model history = …
Building an Audio Classifier using Deep Neural Networks ...
https://www.kdnuggets.com/2017/12/audio-classifier-deep-neural-networks.html
So in this article we proposed a deep convolutional neural network architecture which helps us classify audio and how to effectively use transfer learning and data-augmentation to improve model accuracy in case of small datasets. Bio: Narayan Srinivasan is interested in building autonomous vehicle. He is a graduate of Indian Institute of Technology, Madras.
A Deep Neural Network for Audio Classification with a ...
https://arxiv.org/abs/2006.09815
Abstract: Audio classification is considered as a challenging problem in pattern recognition. Recently, many algorithms have been proposed using deep neural networks. In this paper, we introduce a new attention-based neural network architecture called Classifier-Attention-Based Convolutional Neural Network (CAB-CNN).
Audio Classification | Papers With Code
https://paperswithcode.com/task/audio-classification
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals soerenab/AudioMNIST • 9 Jul 2018 Interpretability of deep neural networks is a recently emerging area of machine learning research targeting a better understanding of how models perform feature selection and derive their classification decisions.
Audio Classification – Towards Data Science
https://towardsdatascience.com/tagged/audio-classification
Audio classification with torchaudio and Allegro Trains. Audio signals are all around us. As such, there is an increasing interest in audio classification for various scenarios, from fire alarm detection for hearing impaired people, through engine sound analysis for maintenance purposes, to baby monitoring.
Audio Data Analysis Using Deep Learning with Python …
https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html
Introduction. While much of the literature and buzz on deep learning concerns computer vision and natural language processing (NLP), audio analysis — a field that includes automatic speech recognition (ASR), digital signal processing, and music classification, tagging, and generation — is a growing subdomain of deep learning applications.
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