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.set_input_sampling_rate(sample_rate) powerfilter = DoublePowerFilter(1) powerfilter.set_input_sampling_rate(sample_rate) powerfilter.set_input_port(0, infilter, 0) powerfilter.set_memory(0) attackreleasefilter = DoubleAttackReleaseFilter(1) attackreleasefilter.set_input_sampling_rate(sample_rate) attackreleasefilter.set_input_port(0, powerfilter, 0) attackreleasefilter.set_attack(0) attackreleasefilter.set_release(np.exp(-1/(sample_rate*10e-3))) gainfilter = DoubleGainCompressorFilter(1) gainfilter.set_input_sampling_rate(sample_rate) gainfilter.set_input_port(0, attackreleasefilter, 0) gainfilter.set_threshold(0.0099) gainfilter.set_ratio(10000) gainfilter.set_softness(1) applygainfilter = DoubleApplyGainFilter(1) applygainfilter.set_input_sampling_rate(sample_rate) applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.set_input_sampling_rate(sample_rate) outfilter.set_input_port(0, applygainfilter, 0) outfilter.process(input.shape[1]) return output
data = data.reshape(-1, 1) infilter = Int16InPointerFilter(data, True) infilter.set_output_sampling_rate(sampling_rate) hffilter = DoubleButterworthBandPassFilter() hffilter.set_input_sampling_rate(sampling_rate) hffilter.set_cut_frequencies(1000, 5000) hffilter.set_order(5) hffilter.set_input_port(0, infilter, 0) derivativefilter = DoubleDerivativeFilter() derivativefilter.set_input_sampling_rate(sampling_rate) derivativefilter.set_input_port(0, hffilter, 0) powerfilter = DoublePowerFilter(1) powerfilter.set_input_sampling_rate(sampling_rate) powerfilter.set_input_port(0, derivativefilter, 0) powerfilter.set_memory(np.exp(-1 / (sampling_rate * 1e-3))) fastattackreleasefilter = DoubleAttackReleaseFilter(1) fastattackreleasefilter.set_input_sampling_rate(sampling_rate) fastattackreleasefilter.set_input_port(0, powerfilter, 0) fastattackreleasefilter.set_attack(np.exp(-1 / (sampling_rate * 1e-3))) fastattackreleasefilter.set_release(np.exp(-1 / (sampling_rate * 50.e-3))) slowattackreleasefilter = DoubleAttackReleaseFilter(1) slowattackreleasefilter.set_input_sampling_rate(sampling_rate) slowattackreleasefilter.set_input_port(0, powerfilter, 0) slowattackreleasefilter.set_attack(np.exp(-1 / (sampling_rate * 5e-3))) slowattackreleasefilter.set_release(np.exp(-1 / (sampling_rate * 50.e-3)))
