def get_dataflow(cls,params,samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
if (params['FFTLength']=='0'):
params['FFTLength']=params['blockSize']
dataflow_safe_append(df,'FFT',params)
dataflow_safe_append(df,'Abs',{})
return df
def get_dataflow(cls, params, samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
if (params['FFTLength'] == '0'):
params['FFTLength'] = params['blockSize']
dataflow_safe_append(df, 'FFT', params)
dataflow_safe_append(df, 'Abs', {})
return df
def get_dataflow(cls, params, samplerate):
nbCoeffs = int(params.get('LSFNbCoeffs'))
displacement = int(params.get('LSFDisplacement'))
lpcparams = LPC.filter_params(params)
lpcparams['LPCNbCoeffs'] = nbCoeffs + 1 - max(displacement, 1)
df = LPC.get_dataflow(lpcparams, samplerate)
dataflow_safe_append(df, 'LPC2LSF', params)
return df
def get_dataflow(cls,params, samplerate):
nbCoeffs = int(params.get('LSFNbCoeffs'))
displacement = int(params.get('LSFDisplacement'))
lpcparams = LPC.filter_params(params)
lpcparams['LPCNbCoeffs'] = nbCoeffs + 1 - max(displacement,1)
df = LPC.get_dataflow(lpcparams, samplerate)
dataflow_safe_append(df,'LPC2LSF',params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df,'Sqr',{})
dataflow_safe_append(df,'Loudness',params)
if (params['LMode']=='Relative'):
dataflow_safe_append(df,'Normalize',{'NNorm':'Sum'})
elif (params['LMode']=='Total'):
dataflow_safe_append(df,'Sum',{})
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(
MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df, 'Sqr', {})
dataflow_safe_append(df, 'Loudness', params)
if (params['LMode'] == 'Relative'):
dataflow_safe_append(df, 'Normalize', {'NNorm': 'Sum'})
elif (params['LMode'] == 'Total'):
dataflow_safe_append(df, 'Sum', {})
return df
def get_dataflow(cls,params,samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df,'Decrease',params)
return df
def get_dataflow(cls,params,samplerate):
df = Frames.get_dataflow(Frames.filter_params(params),samplerate)
dataflow_safe_append(df,'RMS',{})
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df, 'Decrease', params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df, 'Sqr', {})
dataflow_safe_append(df, 'SpectralCrestFactorPerBand', params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df,'Sqr',{})
dataflow_safe_append(df,'OBSI',params)
return df
def get_dataflow(cls,params, samplerate):
acparams = AutoCorrelation.filter_params(params)
acparams['ACNbCoeffs'] = str(int(params.get('LPCNbCoeffs')) + 1)
df = AutoCorrelation.get_dataflow(acparams, samplerate)
dataflow_safe_append(df,'AC2LPC',params)
return df
def get_dataflow(cls, params, samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
dataflow_safe_append(df, 'AutoCorrelation', params)
return df
def get_dataflow(cls, params, samplerate):
df = Envelope.get_dataflow(Envelope.filter_params(params), samplerate)
dataflow_safe_append(df, 'AmplitudeModulation', params)
return df
def get_dataflow(cls,params, samplerate):
df = DataFlow()
dataflow_safe_append(df,'AutoCorrelationPeaksIntegrator',params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(
MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df, 'MelFilterBank', params)
dataflow_safe_append(df, 'Cepstrum', params)
return df
def get_dataflow(cls, params, samplerate):
df = Envelope.get_dataflow(Envelope.filter_params(params), samplerate)
dataflow_safe_append(df, 'ShapeStatistics', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
dataflow_safe_append(df, 'Cepstrum', params)
return df
def get_dataflow(cls, params, samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
dataflow_safe_append(df, 'FFT', params)
dataflow_safe_append(df, 'ComplexDomainFlux', params)
return df
def get_dataflow(cls, params, samplerate):
df = DataFlow()
dataflow_safe_append(df, 'AutoCorrelationPeaksIntegrator', params)
return df
def get_dataflow(cls,params,samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df,'Sqr',{})
dataflow_safe_append(df,'SpectralCrestFactorPerBand',params)
return df
def get_dataflow(cls,params,samplerate):
df = DataFlow()
dataflow_safe_append(df,'Cepstrum',params)
return df
def get_dataflow(cls,params,samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
dataflow_safe_append(df,'AutoCorrelation',params)
return df
def get_dataflow(cls, params, samplerate):
df = Envelope.get_dataflow(Envelope.filter_params(params), samplerate)
dataflow_safe_append(df,'ShapeStatistics',params)
return df
def get_dataflow(cls, params, samplerate):
lParams = Loudness.filter_params(params)
lParams['LMode'] = 'Relative'
df = Loudness.get_dataflow(lParams, samplerate)
dataflow_safe_append(df, 'LoudnessSpread', {})
return df
def get_dataflow(cls, params, samplerate):
acparams = AutoCorrelation.filter_params(params)
acparams['ACNbCoeffs'] = str(int(params.get('LPCNbCoeffs')) + 1)
df = AutoCorrelation.get_dataflow(acparams, samplerate)
dataflow_safe_append(df, 'AC2LPC', params)
return df
def get_dataflow(cls,params,samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
dataflow_safe_append(df,'FFT',params)
dataflow_safe_append(df,'ComplexDomainFlux',params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(
MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df, 'Sqr', {})
dataflow_safe_append(df, 'OBSI', params)
return df
def get_dataflow(cls,params,samplerate):
df = MagnitudeSpectrum.get_dataflow(MagnitudeSpectrum.filter_params(params), samplerate)
dataflow_safe_append(df,'MelFilterBank',params)
dataflow_safe_append(df,'Cepstrum',params)
return df
def get_dataflow(cls, params, samplerate):
df = OBSI.get_dataflow(OBSI.filter_params(params), samplerate)
dataflow_safe_append(df, 'Difference', params)
return df
def get_dataflow(cls, params, samplerate):
df = Envelope.get_dataflow(Envelope.filter_params(params), samplerate)
dataflow_safe_append(df,'AmplitudeModulation',params)
return df
def get_dataflow(cls, params, samplerate):
df = Frames.get_dataflow(Frames.filter_params(params), samplerate)
dataflow_safe_append(df, 'RMS', {})
return df
def get_dataflow(cls, params, samplerate):
lParams = Loudness.filter_params(params)
lParams['LMode'] = 'Relative'
df = Loudness.get_dataflow(lParams, samplerate)
dataflow_safe_append(df,'LoudnessSpread',{})
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df, 'Sqr', {})
dataflow_safe_append(df, 'Rolloff', params)
return df
def get_dataflow(cls, params, samplerate):
df = OBSI.get_dataflow(OBSI.filter_params(params), samplerate)
dataflow_safe_append(df,'Difference',params)
return df
def get_dataflow(cls,params,samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df,'ShapeStatistics',params)
return df
def get_dataflow(cls,params,samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df,'Sqr',{})
dataflow_safe_append(df,'Rolloff',params)
return df
def get_dataflow(cls, params, samplerate):
df = MagnitudeSpectrum.get_dataflow(params, samplerate)
dataflow_safe_append(df, 'ShapeStatistics', params)
return df