def filter(input, ratio=4, threshold=1, softness=1): import numpy as np output = np.zeros(input.shape, dtype=np.float64) input2 = input**2 in2filter = DoubleInPointerFilter(input2, False) in2filter.input_sampling_rate = sample_rate infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = sample_rate gainfilter = DoubleGainCompressorFilter(1) gainfilter.input_sampling_rate = sample_rate gainfilter.set_input_port(0, in2filter, 0) gainfilter.threshold = threshold gainfilter.ratio = ratio gainfilter.softness = softness applygainfilter = DoubleApplyGainFilter(1) applygainfilter.input_sampling_rate = sample_rate applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = sample_rate outfilter.set_input_port(0, applygainfilter, 0) outfilter.process(input.shape[1]) return output
def filter(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = sample_rate powerfilter = DoublePowerFilter(1) powerfilter.input_sampling_rate = sample_rate powerfilter.set_input_port(0, infilter, 0) powerfilter.memory = np.exp(-1 / (sample_rate * 1e-3)) attackreleasefilter = DoubleAttackReleaseFilter(1) attackreleasefilter.input_sampling_rate = sample_rate attackreleasefilter.set_input_port(0, powerfilter, 0) attackreleasefilter.attack = np.exp(-1 / (sample_rate * 1e-3)) attackreleasefilter.release = np.exp(-1 / (sample_rate * 100e-3)) gainfilter = DoubleGainCompressorFilter(1) gainfilter.input_sampling_rate = sample_rate gainfilter.set_input_port(0, attackreleasefilter, 0) gainfilter.threshold = 0.5 gainfilter.ratio = 4 gainfilter.softness = 1 applygainfilter = DoubleApplyGainFilter(1) applygainfilter.input_sampling_rate = sample_rate applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = sample_rate outfilter.set_input_port(0, applygainfilter, 0) outfilter.process(input.shape[1]) return output
def filter(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = sample_rate powerfilter = DoublePowerFilter(1) powerfilter.input_sampling_rate = sample_rate powerfilter.set_input_port(0, infilter, 0) powerfilter.memory = np.exp(-1/(sample_rate*1e-3)) attackreleasefilter = DoubleAttackReleaseFilter(1) attackreleasefilter.input_sampling_rate = sample_rate attackreleasefilter.set_input_port(0, powerfilter, 0) attackreleasefilter.attack = np.exp(-1/(sample_rate*1e-3)) attackreleasefilter.release = np.exp(-1/(sample_rate*100e-3)) gainfilter = DoubleGainCompressorFilter(1) gainfilter.input_sampling_rate = sample_rate gainfilter.set_input_port(0, attackreleasefilter, 0) gainfilter.threshold = 0.5 gainfilter.ratio = 4 gainfilter.softness = 1 applygainfilter = DoubleApplyGainFilter(1) applygainfilter.input_sampling_rate = sample_rate applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = sample_rate outfilter.set_input_port(0, applygainfilter, 0) outfilter.process(input.shape[1]) return output