Audio steganalysis with tensorflow.
@ Author: Yuntao Wang (Charles_wyt)
@ Email: [email protected] (deactivation) [email protected]
Hope we have a happy communication.
This project is a tensorflow implementation of our recent work, and you can design your own networks through the platform.
tensorflow-gpu==1.3 or later, numpy, pandas, matplotlib, scikit-image, scikit-learn, filetype, virtualenv, librosa (depends on FFmpeg)
You can use the command, pip install -r requirements.txt, to install all necessary packages mentioned above. If you don't want to change or break your original version of tensorflow, you can use virtualenv to create a new python runtime environment.
ID | File | Function |
---|---|---|
1 | audio_samples | some audio samples |
2 | data_processing | dataset build, tools which are used for QMDCT coefficients extraction and so on |
3 | jupyter | a folder for debug with jupyter |
4 | papers | the paper, presentation, dataset and brief introduction of our recent work |
5 | setup | setup and configuration |
6 | src | source code |