如何从声音转换到光谱然后回到python中的声音？

Question

如何获取一个wav文件，将其转换为频率强度数组，然后将该数组转换为wav文件。

是否有看起来像这样

wav_data = library.read_wav('aoeu.wav') # [0, 3, 201, ... etc] 

spectrum = library.get_spectrum(wav_data) 
# [[0, 0, 0, .2, 0, .7, ... etc], 
# [0, 0, 0, .3, 0, .8, ... etc], 
# ... etc] 

spectrum[:, 0] = 0 # kill the lowest frequency (assuming spectrum is a numpy array) 

library.spectrum_to_wav(spectrum) # [0, 3, 201, ... etc] 

Answer 1

图书馆我想我一直在寻找的librosa.core.stft和librosa.core.istft

from librosa import load 
from librosa.core import stft, istft 

y, sample_rate = load('song.wav') 
spectrum = stft(y) 
back_y = istft(spectrum) 
print(sum(y - back_y)) # close to 0 

---

scipy.io.wavfile.read()快于librosa.load()

from scipy.io.wavfile import read 

sample_rate, y = read('song.wav') # librosa returns (y, sr) scipy returns (sr, y) 
print(sum(y - istft(stft(y)))) # close to 0