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AngelWings1997 66ca700d07 | 1 year ago | |
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aenet | 1 year ago | |
bin | 1 year ago | |
feat | 1 year ago | |
wav | 1 year ago | |
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HCopy | 1 year ago | |
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README.md | 1 year ago | |
run_sample.py | 1 year ago | |
setup.py | 1 year ago |
This README shows how to run AENet which classify the audio events.
Paper: (https://arxiv.org/abs/1701.00599)
export AENET_DATA_DIR='YOUR_DATA_PATH'
Run python run_sample.py
to test the installation and see how to use the code.
AENET_DATA_DIR
bin/download.sh
python setup.py install
import aenet
Currently only wave file format with 16kHz sampling rate, 16bit, monoral channel is supported.
If you would like to extract AENet feature from other format audio files, please first convert it.
For convenience the class aenet.AENet
contains the function write_wav
which writes the audio stream of a video
in the correct format using moviepy.
Sometimes, the function write_wav
fails, due to a moviepy error. See https://github.com/Zulko/moviepy/pull/377
If you end up using this code or the pre-trained network, we ask you to cite the following paper:
Naoya Takahashi, Michael Gygli, and Luc Van Gool, "AENet: Learning Deep Audio Features for Video Analysis", arXiv preprint arXiv:1701.00599, 2017.
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Python Text Shell Dockerfile Markdown
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