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Technical Sound Event Classification Applying Recurrent and Convolutional Neural Networks. DOI: 10.5220/0009874400840088. In Proceedings of the 1st ...
Technical Sound Event Classification Applying Recurrent and Convolutional Neural Networks. Constantin Rieder, Markus Germann, Samuel Mezger, Klaus Scherer.
We compared the results of our proposed method with the same RNN trained with MFCC features and convolutional neural networks (CNN) trained with mel frequency ...
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A Deep Learning Based Sound Event Location and Detection Algorithm ...
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In this paper, we propose a sound event location and detection algorithm based on convolutional recurrent neural network (CRNN).
Feb 21, 2017 · We combine these two approaches in a Convolutional Recurrent Neural Network (CRNN) and apply it on a polyphonic sound event detection task.
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Binary neural networks underpin our k-NN and allow us to create a unified framework for attribute selection, prediction and classification. We apply the ...
DNNs, both convolutional and re- current [2], have shown to outperform state-of-the-art methods in classification tasks for audio signals. ... and frequency ...
In this article, we trained and compared a Stacked Convolutional Recurrent Neural Network ... DCASE2017 sound event detection using convolutional neural network.
Junwoo Lee · Read more. Conference Paper. Technical Sound Event Classification Applying Recurrent and Convolutional Neural Networks. January 2020. Constantin ...
Aug 24, 2021 · We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species.
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