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