import os
import librosa
def slice_signal(filepath, window_size, sample_rate):
    """
    Helper function for slicing the audio file
    by window size with [stride] percent overlap (default 50%).
    """
    wav, sr = librosa.load(filepath, sr=sample_rate)
    n_samples = wav.shape[0]  # contains simple amplitudes
    hop = int(window_size * 1)
    slices = []
    for end_idx in range(window_size, len(wav), hop):
        start_idx = end_idx - window_size
        slice_sig = wav[start_idx:end_idx]
        slices.append(slice_sig)
    return slices

for idx in range(4):  # select four samples  沒有意義，只是每段語音的切片資料，應該合成之後再儲存為wav檔案
    print('{}_e{}.wav'.format(test_noise_filenames[idx], epoch + 1))
    generated_sample = fake_speech_data[idx]
    filepath = os.path.join(
            gen_data_path, '{}_e{}.wav'.format(test_noise_filenames[idx], epoch + 1))
    wavfile.write(filepath, sample_rate, generated_sample.T)