Original |
NAM (WaveNet, Nano) NAM file 01.78% CPU, ESR: 0.0110, 580 epochs Training stagnated past ~350 epochs |
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Only minimal difference in frequency response/curve to original. Far superior in this full_rig comparison. |
NAM (LSTM) NAM file num_layers=2 hidden_size=21 01.5% CPU, ESR: 0.01067, 787 epochs |
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Highs are lost and it is not able to transparently recreate the frequency response. E.g. the narrow cut around 5000 Hz is lost. I need to further tweak configuration to hopefully remedy this. |
Original |
NAM (WaveNet, Standard) NAM file 03.54% CPU, ESR: 0.001119, 1303 epochs |
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NAM (WaveNet, Nano) NAM file 01.78% CPU, ESR: 0.002329, 1153 epochs |
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NAM (LSTM) NAM file num_layers=2 hidden_size=14 00.99% CPU, ESR: 0.000919, 928 epochs |
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Original |
NAM (WaveNet, Standard) NAM file 03.54% CPU, ESR: 0.004417, 1050 epochs |
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NAM (WaveNet, Nano) NAM file 01.78% CPU, ESR: 0.02961, 670 epochs Training stagnated past 300 epochs |
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NAM (LSTM, NEW configuration) NAM file num_layers=2 hidden_size=14 00.99% CPU, ESR: 0.00439, 692 epochs |
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NAM (LSTM, OLD configuration) NAM file num_layers=2 hidden_size=14 00.99% CPU, ESR: 0.00656, 625 epochs |
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NAM (LSTM) NAM file num_layers=2 hidden_size=8 00.52% CPU, ESR: 0.01072, 729 epochs |
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NAM (LSTM) NAM file num_layers=1 hidden_size=8 00.32% CPU, ESR: 0.06119, 750 epochs |
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Original |
NAM (WaveNet, Nano) NAM file 01.78% CPU, ESR: 0.0799, 482 epochs |
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NAM (LSTM) NAM file num_layers=2 hidden_size=14 00.99% CPU, ESR: 0.0080, 483 epochs |
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NAM (LSTM) NAM file num_layers=2 hidden_size=8 00.52% CPU, ESR: 0.0097, 482 epochs |
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NAM (LSTM) NAM file num_layers=1 hidden_size=8 00.32% CPU, ESR: 0.0614, 320 epochs |
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Original |
NAM (WaveNet, Nano) NAM file 01.78% CPU, ESR: 0.0075, 420 epochs |
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NAM (LSTM) NAM file num_layers=2 hidden_size=14 00.99% CPU, ESR: 0.0020, 420 epochs |
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