denoise.py
def generateNoiseProfile(self, noiseFile):
        """
        Parses the input signal and generate the noise profile using wavelet helper
        Look into lib modules to see how the parsing is done

        NOTE: Heavy on the memory, suitable for small files.

        Parameters
        ----------
        noiseFile : str
            name for the noise signal extracted
        """
        data, rate = soundfile.read(noiseFile)
        self.__noiseProfile = NoiseProfiler(data)
        noiseSignal = self.__noiseProfile.getNoiseDataPredicted()

        soundfile.write(noiseFile, noiseSignal, rate)

        Parses the input signal and generate the noise profile using wavelet helper
        Look into lib modules to see how the parsing is done

        NOTE: Heavy on the memory, suitable for small files.

        Parameters
        ----------
        noiseFile : str
            name for the noise signal extracted
        
Parses the input signal and generate the noise profile using wavelet helper
Look into lib modules to see how the parsing is done

Heavy on the memory, suitable for small files.

Parameters

noiseFile : str
name for the noise signal extracted
Parses the input signal and generate the noise profile using wavelet helper Look into lib modules to see how the parsing is done Heavy on the memory suitable for small files . Parameters noiseFile : str name for the noise signal extracted
def generateNoiseProfile(self, noiseFile):
        data, rate = soundfile.read(noiseFile)
        self.__noiseProfile = NoiseProfiler(data)
        noiseSignal = self.__noiseProfile.getNoiseDataPredicted()
        soundfile.write(noiseFile, noiseSignal, rate)
def generateNoiseProfile ( self , noiseFile ) : data , rate = soundfile . read ( noiseFile ) self . __noiseProfile = NoiseProfiler ( data ) noiseSignal = self . __noiseProfile . getNoiseDataPredicted ( ) soundfile . write ( noiseFile , noiseSignal , rate )
Parses the input signal and generate the noise profile using wavelet helper
Look into lib modules to see how the parsing is done
Parses the input signal and generate the noise profile using wavelet helper Look into lib modules to see how the parsing is done
"""
        Parses the input signal and generate the noise profile using wavelet helper
        Look into lib modules to see how the parsing is done

        NOTE: Heavy on the memory, suitable for small files.

        Parameters
        ----------
        noiseFile : str
            name for the noise signal extracted
        """
self
noiseFile