def Volume_test():
  import numpy as np
  from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter
  from ATK.Tools import DoubleVolumeFilter

  from numpy.testing import assert_almost_equal
  
  input = np.sin(np.arange(1000, dtype=np.float64)[None,:] * 1000 * 2 * np.pi / 48000)
  output = np.ascontiguousarray(np.zeros(1000, dtype=np.float64)[None,:])

  inputfilter = DoubleInPointerFilter(input, False)
  volumefilter = DoubleVolumeFilter()
  outputfilter = DoubleOutPointerFilter(output, False)

  inputfilter.output_sampling_rate = 48000
  volumefilter.input_sampling_rate = 48000
  volumefilter.volume = .5
  outputfilter.input_sampling_rate = 48000

  volumefilter.set_input_port(0, inputfilter, 0)
  outputfilter.set_input_port(0, volumefilter, 0)

  outputfilter.process(1000)

  assert_almost_equal(.5 * input, output)
def Volume_test():
    import numpy as np
    from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter
    from ATK.Tools import DoubleVolumeFilter

    from numpy.testing import assert_almost_equal

    input = np.sin(
        np.arange(1000, dtype=np.float64)[None, :] * 1000 * 2 * np.pi / 48000)
    output = np.ascontiguousarray(np.zeros(1000, dtype=np.float64)[None, :])

    inputfilter = DoubleInPointerFilter(input, False)
    volumefilter = DoubleVolumeFilter()
    outputfilter = DoubleOutPointerFilter(output, False)

    inputfilter.set_output_sampling_rate(48000)
    volumefilter.set_input_sampling_rate(48000)
    volumefilter.set_volume(.5)
    outputfilter.set_input_sampling_rate(48000)

    volumefilter.set_input_port(0, inputfilter, 0)
    outputfilter.set_input_port(0, volumefilter, 0)

    outputfilter.process(1000)

    assert_almost_equal(.5 * input, output)
示例#3
0
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)))

volumefilter = DoubleVolumeFilter(1)
volumefilter.set_input_sampling_rate(sampling_rate)
volumefilter.set_volume(-1)
volumefilter.set_input_port(0, slowattackreleasefilter, 0)

sumfilter = DoubleSumFilter()
sumfilter.set_input_sampling_rate(sampling_rate)
sumfilter.set_input_port(0, fastattackreleasefilter, 0)
sumfilter.set_input_port(1, volumefilter, 0)

gainfilter = DoubleGainCompressorFilter(1)
gainfilter.set_input_sampling_rate(sampling_rate)
gainfilter.set_input_port(0, sumfilter, 0)
gainfilter.set_threshold(.002)
gainfilter.set_ratio(.7)
gainfilter.set_softness(1)
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)))

volumefilter = DoubleVolumeFilter(1)
volumefilter.set_input_sampling_rate(sampling_rate)
volumefilter.set_volume(-1)
volumefilter.set_input_port(0, slowattackreleasefilter, 0)

sumfilter = DoubleSumFilter()
sumfilter.set_input_sampling_rate(sampling_rate)
sumfilter.set_input_port(0, fastattackreleasefilter, 0)
sumfilter.set_input_port(1, volumefilter, 0)

gainfilter = DoubleGainCompressorFilter(1)
gainfilter.set_input_sampling_rate(sampling_rate)
gainfilter.set_input_port(0, sumfilter, 0)
gainfilter.set_threshold(.01)
gainfilter.set_ratio(.7)
gainfilter.set_softness(1)
示例#5
0
def filter(input, blend=0, feedback=0, feedforward=1):
    import numpy as np
    output1 = np.zeros(input.shape, dtype=np.float64)
    output2 = np.zeros(input.shape, dtype=np.float64)

    infilter = DoubleInPointerFilter(input, False)
    infilter.set_input_sampling_rate(sample_rate)

    allpass1filter = DoubleCustomIIRFilter()
    allpass1filter.set_input_sampling_rate(sample_rate)
    allpass1filter.set_input_port(0, infilter, 0)
    allpass1filter.set_coefficients_in(
        (0.0000, 0.3855, 0.0000, 1.3313, 0.0000, 1.0000)[::-1])
    allpass1filter.set_coefficients_out(
        (-0.0000, -1.3313, 0.0000, -0.3855, 0)[::-1])

    allpass2filter = DoubleCustomIIRFilter()
    allpass2filter.set_input_sampling_rate(sample_rate)
    allpass2filter.set_input_port(0, infilter, 0)
    allpass2filter.set_coefficients_in(
        (0.0947, 0.0000, 0.8335, 0.0000, 1.0000)[::-1])
    allpass2filter.set_coefficients_out(
        (0.0000, -0.8335, 0.0000, -0.0947)[::-1])

    sinusfilter = DoubleCachedSinusGeneratorFilter(100, 1)
    sinusfilter.set_input_sampling_rate(sample_rate)

    cosinusfilter = DoubleCachedCosinusGeneratorFilter(100, 1)
    cosinusfilter.set_input_sampling_rate(sample_rate)

    applygainFilter = DoubleApplyGainFilter(2)
    applygainFilter.set_input_sampling_rate(sample_rate)
    applygainFilter.set_input_port(0, allpass1filter, 0)
    applygainFilter.set_input_port(1, sinusfilter, 0)
    applygainFilter.set_input_port(2, allpass2filter, 0)
    applygainFilter.set_input_port(3, cosinusfilter, 0)

    volumeFilter = DoubleVolumeFilter()
    volumeFilter.set_input_sampling_rate(sample_rate)
    volumeFilter.set_volume(-1)
    volumeFilter.set_input_port(0, applygainFilter, 1)

    sum1Filter = DoubleSumFilter()
    sum1Filter.set_input_sampling_rate(sample_rate)
    sum1Filter.set_input_port(0, applygainFilter, 0)
    sum1Filter.set_input_port(1, volumeFilter, 0)

    sum2Filter = DoubleSumFilter()
    sum2Filter.set_input_sampling_rate(sample_rate)
    sum2Filter.set_input_port(0, applygainFilter, 0)
    sum2Filter.set_input_port(1, applygainFilter, 1)

    out1filter = DoubleOutPointerFilter(output1, False)
    out1filter.set_input_sampling_rate(sample_rate)
    out1filter.set_input_port(0, sum1Filter, 0)

    out2filter = DoubleOutPointerFilter(output2, False)
    out2filter.set_input_sampling_rate(sample_rate)
    out2filter.set_input_port(0, sum2Filter, 0)

    pipelinesink = PipelineGlobalSinkFilter()
    pipelinesink.set_input_sampling_rate(sample_rate)
    pipelinesink.add_filter(out1filter)
    pipelinesink.add_filter(out2filter)
    pipelinesink.process(input.shape[1])

    return output1, output2
示例#6
0
def filter(input, blend=0, feedback=0, feedforward=1):
  import numpy as np
  output1 = np.zeros(input.shape, dtype=np.float64)
  output2 = np.zeros(input.shape, dtype=np.float64)

  infilter = DoubleInPointerFilter(input, False)
  infilter.set_input_sampling_rate(sample_rate)

  allpass1filter = DoubleCustomIIRFilter()
  allpass1filter.set_input_sampling_rate(sample_rate)
  allpass1filter.set_input_port(0, infilter, 0)
  allpass1filter.set_coefficients_in((0.0000, 0.3855, 0.0000, 1.3313, 0.0000, 1.0000)[::-1])
  allpass1filter.set_coefficients_out((-0.0000, -1.3313, 0.0000, -0.3855, 0)[::-1])

  allpass2filter = DoubleCustomIIRFilter()
  allpass2filter.set_input_sampling_rate(sample_rate)
  allpass2filter.set_input_port(0, infilter, 0)
  allpass2filter.set_coefficients_in((0.0947, 0.0000, 0.8335, 0.0000, 1.0000)[::-1])
  allpass2filter.set_coefficients_out((0.0000, -0.8335, 0.0000, -0.0947)[::-1])

  sinusfilter = DoubleCachedSinusGeneratorFilter(100, 1)
  sinusfilter.set_input_sampling_rate(sample_rate)

  cosinusfilter = DoubleCachedCosinusGeneratorFilter(100, 1)
  cosinusfilter.set_input_sampling_rate(sample_rate)
  
  applygainFilter = DoubleApplyGainFilter(2)
  applygainFilter.set_input_sampling_rate(sample_rate)
  applygainFilter.set_input_port(0, allpass1filter, 0)
  applygainFilter.set_input_port(1, sinusfilter, 0)
  applygainFilter.set_input_port(2, allpass2filter, 0)
  applygainFilter.set_input_port(3, cosinusfilter, 0)

  volumeFilter = DoubleVolumeFilter()
  volumeFilter.set_input_sampling_rate(sample_rate)
  volumeFilter.set_volume(-1)
  volumeFilter.set_input_port(0, applygainFilter, 1)

  sum1Filter = DoubleSumFilter()
  sum1Filter.set_input_sampling_rate(sample_rate)
  sum1Filter.set_input_port(0, applygainFilter, 0)
  sum1Filter.set_input_port(1, volumeFilter, 0)

  sum2Filter = DoubleSumFilter()
  sum2Filter.set_input_sampling_rate(sample_rate)
  sum2Filter.set_input_port(0, applygainFilter, 0)
  sum2Filter.set_input_port(1, applygainFilter, 1)

  out1filter = DoubleOutPointerFilter(output1, False)
  out1filter.set_input_sampling_rate(sample_rate)
  out1filter.set_input_port(0, sum1Filter, 0)

  out2filter = DoubleOutPointerFilter(output2, False)
  out2filter.set_input_sampling_rate(sample_rate)
  out2filter.set_input_port(0, sum2Filter, 0)

  pipelinesink = PipelineGlobalSinkFilter()
  pipelinesink.set_input_sampling_rate(sample_rate)
  pipelinesink.add_filter(out1filter)
  pipelinesink.add_filter(out2filter)
  pipelinesink.process(input.shape[1])

  return output1, output2
def filter(inputl, inputr):
  import numpy as np
  outputl = np.zeros(inputl.shape, dtype=np.float64)
  outputr = np.zeros(inputl.shape, dtype=np.float64)

  infilterL = DoubleInPointerFilter(inputl, False)
  infilterL.set_input_sampling_rate(sample_rate)
  infilterR = DoubleInPointerFilter(inputr, False)
  infilterR.set_input_sampling_rate(sample_rate)

  mssplitfilter = DoubleMiddleSideFilter()
  mssplitfilter.set_input_sampling_rate(sample_rate)
  mssplitfilter.set_input_port(0, infilterL, 0)
  mssplitfilter.set_input_port(1, infilterR, 0)

  adaptgainfilter = DoubleVolumeFilter(2)
  adaptgainfilter.set_input_sampling_rate(sample_rate)
  adaptgainfilter.set_input_port(0, mssplitfilter, 0)
  adaptgainfilter.set_input_port(1, mssplitfilter, 1)
  adaptgainfilter.set_volume(.5)

  powerfilter1 = DoublePowerFilter()
  powerfilter1.set_input_sampling_rate(sample_rate)
  powerfilter1.set_input_port(0, adaptgainfilter, 0)
  powerfilter1.set_memory(np.exp(-1/(sample_rate*.1e-3)))

  attackreleasefilter1 = DoubleAttackReleaseFilter()
  attackreleasefilter1.set_input_sampling_rate(sample_rate)
  attackreleasefilter1.set_input_port(0, powerfilter1, 0)
  attackreleasefilter1.set_attack(np.exp(-1/(sample_rate*1e-3)))
  attackreleasefilter1.set_release(np.exp(-1/(sample_rate*100e-3)))

  gainfilter1 = DoubleGainCompressorFilter()
  gainfilter1.set_input_sampling_rate(sample_rate)
  gainfilter1.set_input_port(0, attackreleasefilter1, 0)
  gainfilter1.set_threshold(thresholds)
  gainfilter1.set_ratio(ratios)
  gainfilter1.set_softness(1)

  applygainfilter = DoubleApplyGainFilter(2)
  applygainfilter.set_input_sampling_rate(sample_rate)
  applygainfilter.set_input_port(0, gainfilter1, 0)
  applygainfilter.set_input_port(1, mssplitfilter, 0)

  powerfilter2 = DoublePowerFilter(1)
  powerfilter2.set_input_sampling_rate(sample_rate)
  powerfilter2.set_input_port(0, adaptgainfilter, 1)
  powerfilter2.set_memory(np.exp(-1/(sample_rate*.1e-3)))

  attackreleasefilter2 = DoubleAttackReleaseFilter()
  attackreleasefilter2.set_input_sampling_rate(sample_rate)
  attackreleasefilter2.set_input_port(0, powerfilter1, 0)
  attackreleasefilter2.set_attack(np.exp(-1/(sample_rate*1e-3)))
  attackreleasefilter2.set_release(np.exp(-1/(sample_rate*100e-3)))

  gainfilter2 = DoubleGainCompressorFilter()
  gainfilter2.set_input_sampling_rate(sample_rate)
  gainfilter2.set_input_port(0, attackreleasefilter2, 0)
  gainfilter2.set_threshold(thresholds)
  gainfilter2.set_ratio(ratios)
  gainfilter2.set_softness(1)

  applygainfilter.set_input_port(2, gainfilter2, 0)
  applygainfilter.set_input_port(3, mssplitfilter, 1)

  msmergefilter = DoubleMiddleSideFilter()
  msmergefilter.set_input_sampling_rate(sample_rate)
  msmergefilter.set_input_port(0, applygainfilter, 0)
  msmergefilter.set_input_port(1, applygainfilter, 1)

  volumefilter = DoubleVolumeFilter(2)
  volumefilter.set_input_sampling_rate(sample_rate)
  volumefilter.set_volume(.5)
  volumefilter.set_input_port(0, msmergefilter, 0)
  volumefilter.set_input_port(1, msmergefilter, 1)
  
  outfilterl = DoubleOutPointerFilter(outputl, False)
  outfilterl.set_input_sampling_rate(sample_rate)
  outfilterl.set_input_port(0, volumefilter, 0)

  outfilterr = DoubleOutPointerFilter(outputr, False)
  outfilterr.set_input_sampling_rate(sample_rate)
  outfilterr.set_input_port(0, volumefilter, 1)
  
  pipelineend = PipelineGlobalSinkFilter()
  pipelineend.set_input_sampling_rate(sample_rate)
  pipelineend.add_filter(outfilterl)
  pipelineend.add_filter(outfilterr)
  pipelineend.process(inputl.shape[1])

  return outputl, outputr