End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments
We present a novel approach to tackle the problem of sound event detection (SED) in urban environments using end- to-end convolutional neural networks (CNN). It consists of a 1D CNN for extracting the energy on mel-frequency bands from the audio signal based on a simple ?lter bank, followed by a 2D...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct24/files/Zin.pdf
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