Question

这是我的代码，请帮助我更正：

from pathlib import Path
from python_speech_features import fbank
import scipy.io.wavfile as wavfile

path = Path('/home/narges/dataset/seri1.16khz.128kbps/Voice   Recorder/N00xxxx/').glob('*/*.wav')
wavs = [str(wavf) for wavf in path if wavf.is_file()]
wavs.sort()

print(wavs)

number_of_files=len(wavs)

wav_data=[]

for i in range(number_of_files):
    samplerate, data=wavfile.read(wavs[i])
    wav_data.append(data)
print(wav_data)

fbank_feat=fbank(samplerate, data)
print(fbank_feat)

我的错误是：“ int”对象不可下标。我该如何纠正？

Answer 1

最后我使用了这段代码，它是正确的：

from pathlib import Path
from python_speech_features import fbank
import scipy.io.wavfile as wavfile
import numpy as np

path = Path('/home/narges/dataset/seri1.16khz.128kbps/Voice Recorder/N00xxxx/').glob('*/*.wav')
wavs = [str(wavf) for wavf in path if wavf.is_file()]
wavs.sort()
print(wavs)

number_of_files=len(wavs)

for i in range(number_of_files):
    (rate, sig) = wavfile.read(wavs[i])

fbank_feat=fbank(sig, rate, winlen=0.06, winstep=0.01, nfilt=26, nfft=512, lowfreq=0, highfreq=rate/2, preemph=0.97, winfunc=np.hamming)
print(fbank_feat)

如何提取（.wav）表单文件夹和子文件夹以用作神经网络的输入？

1 个答案: