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paper/paper.bib

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@@ -28,12 +28,27 @@ @misc{opensource
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url = {https://opensource.com/article/19/9/audio-processing-machine-learning-python}
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}
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@INPROCEEDINGS{6921394,
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author={Chauhan, Paresh M. and Desai, Nikita P.},
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booktitle={2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE)},
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title={Mel Frequency Cepstral Coefficients (MFCC) based speaker identification in noisy environment using wiener filter},
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year={2014},
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volume={},
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number={},
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pages={1-5},
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doi={10.1109/ICGCCEE.2014.6921394}}
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@INPROCEEDINGS{6921394,
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author={Chauhan, Paresh M. and Desai, Nikita P.},
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booktitle={2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE)},
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title={Mel Frequency Cepstral Coefficients (MFCC) based speaker identification in noisy environment using wiener filter},
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year={2014},
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volume={},
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number={},
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pages={1-5},
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doi={10.1109/ICGCCEE.2014.6921394}}
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@misc{librosa,
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title={librosa: Audio and music signal analysis in python},
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author={McFee, Brian and Raffel, Colin and Liang, Dawen and Ellis, Daniel PW and McVicar, Matt and Battenberg, Eric and Nieto, Oriol},
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doi={10.5281/zenodo.4792298}
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}
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