def filter(input): infilter = DoubleInPointerFilter(input) infilter.output_sampling_rate = sampling_rate attackreleasefilter = DoubleAttackReleaseFilter(1) attackreleasefilter.input_sampling_rate = sampling_rate attackreleasefilter.set_input_port(0, infilter, 0) attackreleasefilter.attack = np.exp(-1/(sampling_rate*1e-3)) attackreleasefilter.release = np.exp(-1/(sampling_rate*10e-3)) outdata = np.zeros(processsize, dtype=np.float64) outfilter = DoubleOutPointerFilter(outdata) outfilter.input_sampling_rate = sampling_rate outfilter.set_input_port(0, attackreleasefilter, 0) attackreleasefilter2 = DoubleAttackReleaseHysteresisFilter(1) attackreleasefilter2.input_sampling_rate = sampling_rate attackreleasefilter2.set_input_port(0, infilter, 0) attackreleasefilter2.attack = np.exp(-1/(sampling_rate*1e-3)) attackreleasefilter2.release = np.exp(-1/(sampling_rate*10e-3)) attackreleasefilter2.release_hysteresis = .5 attackreleasefilter2.attack_hysteresis = .9 outdata2 = np.zeros(processsize, dtype=np.float64) outfilter_hyst = DoubleOutPointerFilter(outdata2) outfilter_hyst.input_sampling_rate = sampling_rate outfilter_hyst.set_input_port(0, attackreleasefilter2, 0) pipelineend = PipelineGlobalSinkFilter() pipelineend.input_sampling_rate = sampling_rate pipelineend.add_filter(outfilter) pipelineend.add_filter(outfilter_hyst) pipelineend.process(processsize) return outdata, outdata2
def filter(input):
infilter = DoubleInPointerFilter(input)
infilter.output_sampling_rate = sampling_rate
attackreleasefilter = DoubleAttackReleaseFilter(1)
attackreleasefilter.input_sampling_rate = sampling_rate
attackreleasefilter.set_input_port(0, infilter, 0)
attackreleasefilter.attack = np.exp(-1 / (sampling_rate * 1e-3))
attackreleasefilter.release = np.exp(-1 / (sampling_rate * 10e-3))
outdata = np.zeros(processsize, dtype=np.float64)
outfilter = DoubleOutPointerFilter(outdata)
outfilter.input_sampling_rate = sampling_rate
outfilter.set_input_port(0, attackreleasefilter, 0)
attackreleasefilter2 = DoubleAttackReleaseHysteresisFilter(1)
attackreleasefilter2.input_sampling_rate = sampling_rate
attackreleasefilter2.set_input_port(0, infilter, 0)
attackreleasefilter2.attack = np.exp(-1 / (sampling_rate * 1e-3))
attackreleasefilter2.release = np.exp(-1 / (sampling_rate * 10e-3))
attackreleasefilter2.release_hysteresis = .5
attackreleasefilter2.attack_hysteresis = .9
outdata2 = np.zeros(processsize, dtype=np.float64)
outfilter_hyst = DoubleOutPointerFilter(outdata2)
outfilter_hyst.input_sampling_rate = sampling_rate
outfilter_hyst.set_input_port(0, attackreleasefilter2, 0)
pipelineend = PipelineGlobalSinkFilter()
pipelineend.input_sampling_rate = sampling_rate
pipelineend.add_filter(outfilter)
pipelineend.add_filter(outfilter_hyst)
pipelineend.process(processsize)
return outdata, outdata2
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