def noise_reduction_ourrec(dirName):
    types = ('*.wav', '*.aif',  '*.aiff', '*.mp3', '*.au', '*.ogg')
    wav_file_list = []
    for files in types:
        wav_file_list.extend(glob.glob(os.path.join(dirName, files)))
    wav_file_list = sorted(wav_file_list)
    wav_file_list2 = []
    print(os.getcwd())
    for i, wavFile in enumerate(wav_file_list):
        j=1

        Frequency,samples  =read(wavFile)
        FourierTransformation = sp.fft(samples) # Calculating the fourier transformation of the signal
        scale = sp.linspace(0, Frequency, len(samples))
        b,a = signal.butter(5, 9800/(Frequency/2), btype='highpass') # ButterWorth filter 4350
        filteredSignal = signal.lfilter(b,a,samples)
        c,d = signal.butter(5, 200/(Frequency/4), btype='lowpass') # ButterWorth low-filter
        newFilteredSignal = signal.lfilter(c,d,filteredSignal) # Applying the filter to the signal
        name = "Wavfile"+str(i)
        j=j+1
        print(name)
        librosa.output.write_wav(name, newFilteredSignal,Frequency)