def filter(input, blend=0, feedback=0, feedforward=1):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_output_sampling_rate(sample_rate)
generator = DoubleCachedSinusGeneratorFilter(1, 1)
generator.set_output_sampling_rate(sample_rate)
generator.set_volume(1e-3 * sample_rate)
generator.set_offset(1.5e-3 * sample_rate)
delayfilter = DoubleUniversalVariableDelayLineFilter(5000)
delayfilter.set_input_sampling_rate(sample_rate)
delayfilter.set_input_port(0, infilter, 0)
delayfilter.set_input_port(1, generator, 0)
delayfilter.set_blend(blend)
delayfilter.set_feedback(feedback)
delayfilter.set_feedforward(feedforward)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(sample_rate)
outfilter.set_input_port(0, delayfilter, 0)
outfilter.process(input.shape[1])
return output
def filter(input, blend=0, feedback=0, feedforward=1):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_output_sampling_rate(sample_rate)
generator = DoubleCachedSinusGeneratorFilter(1, 1)
generator.set_output_sampling_rate(sample_rate)
generator.set_volume(1e-3 * sample_rate)
generator.set_offset(1.5e-3 * sample_rate)
delayfilter = DoubleUniversalVariableDelayLineFilter(5000)
delayfilter.set_input_sampling_rate(sample_rate)
delayfilter.set_input_port(0, infilter, 0)
delayfilter.set_input_port(1, generator, 0)
delayfilter.set_blend(blend)
delayfilter.set_feedback(feedback)
delayfilter.set_feedforward(feedforward)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(sample_rate)
outfilter.set_input_port(0, delayfilter, 0)
outfilter.process(input.shape[1])
return output
def filter(input, blend=0, feedback=0, feedforward=1): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.set_input_sampling_rate(sample_rate) noisefilter = DoubleCachedSinusGeneratorFilter(1, 2) noisefilter.set_input_sampling_rate(sample_rate) noisefilter.set_offset(10000) noisefilter.set_volume(2000) lowfilter = DoubleTimeVaryingBandPassCoefficientsIIRFilter() lowfilter.set_input_sampling_rate(sample_rate) lowfilter.set_Q(1) lowfilter.set_min_frequency(8000) lowfilter.set_max_frequency(12000) lowfilter.set_number_of_steps(10001) lowfilter.set_input_port(0, infilter, 0) lowfilter.set_input_port(1, noisefilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.set_input_sampling_rate(sample_rate) outfilter.set_input_port(0, lowfilter, 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) sinusfilter = DoubleCachedSinusGeneratorFilter(20, 5) sinusfilter.set_input_sampling_rate(sample_rate) sinusfilter.set_offset(0.5) sinusfilter.set_volume(0.5) gainfilter = DoubleApplyGainFilter(1) gainfilter.set_input_sampling_rate(sample_rate) gainfilter.set_input_port(0, infilter, 0) gainfilter.set_input_port(1, sinusfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.set_input_sampling_rate(sample_rate) outfilter.set_input_port(0, gainfilter, 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)
sinusfilter = DoubleCachedSinusGeneratorFilter(20, 5)
sinusfilter.set_input_sampling_rate(sample_rate)
sinusfilter.set_offset(0.5)
sinusfilter.set_volume(0.5)
gainfilter = DoubleApplyGainFilter(1)
gainfilter.set_input_sampling_rate(sample_rate)
gainfilter.set_input_port(0, infilter, 0)
gainfilter.set_input_port(1, sinusfilter, 0)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(sample_rate)
outfilter.set_input_port(0, gainfilter, 0)
outfilter.process(input.shape[1])
return output
