[英]“No Backend Error ” while working with librosa
file = open('data.csv', 'w', newline='')
with file:
writer = csv.writer(file)
writer.writerow(header)
genres = 'blues classical country disco hiphop jazz metal pop reggae rock'.split()
for g in genres:
for filename in os.listdir(f'./genres/{g}'):
songname = f'./genres/{g}/{filename}'
y, sr = librosa.load(songname, mono=True, duration=30)
chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)
rmse = librosa.feature.rmse(y=y)
spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr)
spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr)
rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
zcr = librosa.feature.zero_crossing_rate(y)
mfcc = librosa.feature.mfcc(y=y, sr=sr)
to_append = f'{filename} {np.mean(chroma_stft)} {np.mean(rmse)} {np.mean(spec_cent)} {np.mean(spec_bw)} {np.mean(rolloff)} {np.mean(zcr)}'
for e in mfcc:
to_append += f' {np.mean(e)}'
to_append += f' {g}'
file = open('data.csv', 'a', newline='')
with file:
writer = csv.writer(file)
writer.writerow(to_append.split())
通过执行此代码没有给我后端错误。 我试过安装 ffmpeg。 但是没有解决,报错如下
NoBackendError Traceback (most recent call last)
<ipython-input-14-0137cee5a3ad> in <module>
7 for filename in os.listdir(f'./genres/{g}'):
8 songname = f'./genres/{g}/{filename}'
----> 9 y, sr = librosa.load(songname, mono=True, duration=30)
10 chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)
11 rmse = librosa.feature.rmse(y=y)
~\anaconda3\envs\tensorflow\lib\site-packages\librosa\core\audio.py in load(path, sr, mono, offset, duration, dtype, res_type)
110
111 y = []
--> 112 with audioread.audio_open(os.path.realpath(path)) as input_file:
113 sr_native = input_file.samplerate
114 n_channels = input_file.channels
~\anaconda3\envs\tensorflow\lib\site-packages\audioread\__init__.py in audio_open(path, backends)
114
115 # All backends failed!
--> 116 raise NoBackendError()
NoBackendError:
如何解决这个错误? 我什至尝试安装ffmeg,但问题没有解决。 是否有任何额外的软件包要安装?
我也面临同样的错误。 仅用于导入音频文件,您可以使用:
import scipy.io as sio
samplerate, data = sio.wavfile.read(location_of_file)
然后你可以使用 librosa 进行特征提取
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