shift.py

import numpy as np
import random
import itertools
import librosa
import IPython.display as ipd
import matplotlib.pyplot as plt


def load_audio_file(file_path):
    input_length = 440000
    data = librosa.core.load(file_path,sr=22050)[0] #, sr=16000
    if len(data)>input_length:
        data = data[:input_length]
    else:
        data = np.pad(data, (0, max(0, input_length - len(data))), "constant")
    return data
sr=22050
data = load_audio_file("haruhi.wav")
data_roll=np.roll(data,32000)
librosa.output.write_wav('rolled_haruhi.wav', data_roll,sr)