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README.md
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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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---
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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
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