41e4848935c2d7dee09b7db666854d7489fa7d6c,nussl/repet.py,Repet,run,#Repet#,70

Before Change

        self.repeating_period = self._calculate_repeating_period()

        // separate the mixture background by masking
        bkgd = np.zeros_like(self.audio_signal.audio_data)
        for i in range(self.audio_signal.num_channels):
            repeating_mask = self._compute_repeating_mask(self.magnitude_spectrogram[:, :, i])
            repeating_mask[1:self.high_pass_cutoff, :] = 1  // high-pass filter the foreground

After Change

            stft_with_mask = repeating_mask * self.stft[:, :, i]
            background_stft.append(stft_with_mask)

        background_stft = np.array(background_stft).transpose((1, 2, 0))
        self.background = AudioSignal(stft=background_stft, sample_rate=self.audio_signal.sample_rate)
        self.background.istft(self.stft_params.window_length, self.stft_params.hop_length,
                              self.stft_params.window_type, overwrite=True,
                              use_librosa=self.use_librosa_stft)

Instances