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  license: cc-by-4.0
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  ---
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  LA-2A Compressor data to accompany the paper "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," 147th Audio Engineering Society Convention (AES), 2019. https://arxiv.org/abs/1905.11928
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  Truncated beginning of inputs to make them the same as targets. Used new script check_dataset.py to fix & overwrite earlier version:
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- $ signaltrain/utils/check_dataset.py --fix SignalTrain_LA2A_Dataset/
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-4.0
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+ # SignalTrain LA2A Dataset
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+ Of audio in & audio out for a LA-2A compressor unit, conditioned on knob variations.
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  LA-2A Compressor data to accompany the paper "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," 147th Audio Engineering Society Convention (AES), 2019. https://arxiv.org/abs/1905.11928
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  Truncated beginning of inputs to make them the same as targets. Used new script check_dataset.py to fix & overwrite earlier version:
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+ $ signaltrain/utils/check_dataset.py --fix SignalTrain_LA2A_Dataset/
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+ # Papers dataset was used in:
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+ "Efficient neural networks for real-time analog audio effect modeling" by C. Steinmetz & J. Reiss, 2021. https://arxiv.org/abs/2102.06200
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+ “Exploring quality and generalizability in parameterized neural audio effects," by W. Mitchell and S. H. Hawley, 149th Audio Engineering Society Convention (AES), 2020. https://arxiv.org/abs/2006.05584
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+ "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," 147th Audio Engineering Society Convention (AES), 2019. https://arxiv.org/abs/1905.11928