音频合成和分析torch<2>

# -*- coding:utf-8 -*-
# /usr/bin/python
'''
@Author  :  Errol 
@Describe:  
@Evn     :  
@Date    :   - 
'''

import torch
import torchaudio
import matplotlib.pyplot as plt

file_path = './data/000-test.wav'
waveform,sample_rate = torchaudio.load(file_path)
print('waveform',waveform,type(waveform),'\nsample_rate:',sample_rate,type(sample_rate))
print("shape of waveform:{}".format(waveform.size))
print("sample rate of waveform:{}".format(sample_rate))
print("waveform.t(){}".format(waveform.t()))
print('type(waveform.t()))',type(waveform.t()))

print("Min of waveform: {}\nMax of waveform: {}\nMean of waveform: {}".format(waveform.min(), waveform.max(), waveform.mean()))
# 正则化音频数据
def normalize(waveform):
    tenso