GitHub - Simeng07/identification: Audio Recording Device Identification

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
74bknoise_mlp_1h.py		74bknoise_mlp_1h.py
75bknoise_mlp_2h.py		75bknoise_mlp_2h.py
76bknoise_mlp_3h.py		76bknoise_mlp_3h.py
76bknoise_mlp_3h_v2.py		76bknoise_mlp_3h_v2.py
77bknoise_boost1_2_2048_mlp_2h.py		77bknoise_boost1_2_2048_mlp_2h.py
78bknoise_boost1_2_2048_mlp_1h.py		78bknoise_boost1_2_2048_mlp_1h.py
79bknoise_boost1_2_2048_mlp_3h.py		79bknoise_boost1_2_2048_mlp_3h.py
ReadMe.txt		ReadMe.txt
bkclassify.m		bkclassify.m
bknoise_load_data.py		bknoise_load_data.py
bknoise_raw_cnn_3h.py		bknoise_raw_cnn_3h.py
cnn_utils.py		cnn_utils.py
gendata.m		gendata.m
mat2gz.py		mat2gz.py
plot_confusion_matrix.py		plot_confusion_matrix.py
predy1.npy		predy1.npy
predy2.npy		predy2.npy
predy3.npy		predy3.npy
predyy.npy		predyy.npy
voting_tsne.py		voting_tsne.py

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Thanks for your interest in our work!
The paper can be referred at http://ieeexplore.ieee.org/document/7888298/.

1. gendata.m is used to generate miner audio segments.
2. bkclassify.m is for softmax classificationas and generating the mat file.
3. mat2gz.py can transfer .mat to .gz, like the 3 given files at 1.
4. File 74-79 need .pkl.gz files to run, and will output the identification result.
5. plot_confusion_matrix.py is used to draw the confusion figure.
6. voting_tsne.py is used to draw the dimensionality reduction result, as well as generate the voting result.

For any questions, please contact me at smart_qi@126.com.