97b74b011d7f4e3a144be6417a7285c0fc91fd72,demos/demo_ica.py,,main,#,14

Before Change

    plt.plot(generated_observations)
    plt.show()

    observations = []
    for i in range(generated_observations.shape[1]):
        observations.append(nussl.AudioSignal(audio_data_array=generated_observations[:, i], sample_rate = 44100))

    observations = nussl.ICA.transform_observations_to_audio_signal(observations)

    ica = nussl.ICA(input_audio_signal=observations)
    ica.run()

After Change

    full_signal += 0.2 * np.random.normal(size=full_signal.shape)  // Add noise
    full_signal /= full_signal.std(axis=0)  // Standardize data

    plt.plot(full_signal)
    plt.show()

    // Mix data
    mixing_matrix = np.array([[1, 1, 1], [0.5, 2, 1.0], [1.5, 1.0, 2.0]])  // Mixing matrix

Instances