692d1131c0f77f85a9068f22ae5e7bf26352a0b2,examples/noise_reduction_spectral_subtraction.py,,,#,29

Before Change

min_val = -80
max_val = -40
plt.figure()
plt.subplot(3, 1, 1)
plt.specgram(noisy_signal[:n-hop], NFFT=256, Fs=fs_s, vmin=min_val, vmax=max_val)
plt.title("Noisy Signal")
plt.subplot(3, 1, 2)

After Change

signal_norm = signal / np.abs(signal).max()

if plot_spec:
    min_val = -80
    max_val = -40
    plt.figure()
    plt.subplot(3, 1, 1)
    plt.specgram(noisy_signal[:n-hop], NFFT=256, Fs=fs_s,
                 vmin=min_val, vmax=max_val)
    plt.title("Noisy Signal")
    plt.subplot(3, 1, 2)
    plt.specgram(processed_audio[hop:n], NFFT=256, Fs=fs_s,
                 vmin=min_val, vmax=max_val)
    plt.title("Denoised Signal")
    plt.subplot(3, 1, 3)
    plt.specgram(signal_norm[:n-hop], NFFT=256, Fs=fs_s,
                 vmin=min_val, vmax=max_val)
    plt.title("Original Signal")
    plt.tight_layout(pad=0.5)
    plt.show()

Instances