错误:未知格式:3(尝试读取音频 wavfile 时) [英] Error: unknown format: 3 (When trying to read audio wavfile)
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问题描述
我正在尝试使用下面显示的以下功能来清理和缩减音频采样.我陷入了这个我缺乏理解的错误中.有人愿意解释并希望帮助我解决这个问题吗?
I am trying to clean and downsample my audio using the following functions displayed below. I get thrown into this error which I lack understanding of. Would anyone care to explain and hopefully help me resolve this issue?
我可以看到它与 wavio 功能有关，并且无法读取文件.
I can see that it has to do with wavio function and it fails to read the file.
代码如下:
def envelope(y, rate, threshold):
mask = []
y = pd.Series(y).apply(np.abs)
y_mean = y.rolling(window=int(rate/20),
min_periods=1,
center=True).max()
for mean in y_mean:
if mean > threshold:
mask.append(True)
else:
mask.append(False)
return mask, y_mean
def downsample_mono(path, sr):
obj = wavio.read(path)
wav = obj.data.astype(np.float32, order='F')
rate = obj.rate
try:
tmp = wav.shape[1]
wav = to_mono(wav.T)
except:
pass
wav = resample(wav, rate, sr)
wav = wav.astype(np.int16)
return sr, wav
def save_sample(sample, rate, target_dir, fn, ix):
fn = fn.split('.wav')[0]
dst_path = os.path.join(target_dir.split('.')[0], fn+'_{}.wav'.format(str(ix)))
if os.path.exists(dst_path):
return
wavfile.write(dst_path, rate, sample)
def check_dir(path):
if os.path.exists(path) is False:
os.mkdir(path)
def split_wavs(args):
src_root = args.src_root
dst_root = args.dst_root
dt = args.delta_time
wav_paths = glob('{}/**'.format(src_root), recursive=True)
wav_paths = [x for x in wav_paths if '.wav' in x]
dirs = os.listdir(src_root)
check_dir(dst_root)
classes = os.listdir(src_root)
for _cls in classes:
target_dir = os.path.join(dst_root, _cls)
check_dir(target_dir)
src_dir = os.path.join(src_root, _cls)
for fn in tqdm(os.listdir(src_dir)):
src_fn = os.path.join(src_dir, fn)
rate, wav = downsample_mono(src_fn, args.sr)
mask, y_mean = envelope(wav, rate, threshold=args.threshold)
wav = wav[mask]
delta_sample = int(dt*rate)
# cleaned audio is less than a single sample
# pad with zeros to delta_sample size
if wav.shape[0] < delta_sample:
sample = np.zeros(shape=(delta_sample,), dtype=np.int16)
sample[:wav.shape[0]] = wav
save_sample(sample, rate, target_dir, fn, 0)
# step through audio and save every delta_sample
# discard the ending audio if it is too short
else:
trunc = wav.shape[0] % delta_sample
for cnt, i in enumerate(np.arange(0, wav.shape[0]-trunc, delta_sample)):
start = int(i)
stop = int(i + delta_sample)
sample = wav[start:stop]
save_sample(sample, rate, target_dir, fn, cnt)
def test_threshold(args):
src_root = args.src_root
wav_paths = glob('{}/**'.format(src_root), recursive=True)
wav_path = [x for x in wav_paths if args.fn in x]
if len(wav_path) != 1:
print('audio file not found for sub-string: {}'.format(args.fn))
return
rate, wav = downsample_mono(wav_path[0], args.sr)
mask, env = envelope(wav, rate, threshold=args.threshold)
plt.style.use('ggplot')
plt.title('Signal Envelope, Threshold = {}'.format(str(args.threshold)))
plt.plot(wav[np.logical_not(mask)], color='r', label='remove')
plt.plot(wav[mask], color='c', label='keep')
plt.plot(env, color='m', label='envelope')
plt.grid(False)
plt.legend(loc='best')
plt.show()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Cleaning audio data')
parser.add_argument('--src_root', type=str, default='Audio Data/Ordered Files',
help='directory of audio files in total duration')
parser.add_argument('--dst_root', type=str, default='Audio Data/Clean Audio',
help='directory to put audio files split by delta_time')
parser.add_argument('--delta_time', '-dt', type=float, default=2.0,
help='time in seconds to sample audio')
parser.add_argument('--sr', type=int, default=44100,
help='rate to downsample audio')
parser.add_argument('--fn', type=str, default='HBJQWAO',
help='file to plot over time to check magnitude')
parser.add_argument('--threshold', type=str, default=20,
help='threshold magnitude for np.int16 dtype')
args, _ = parser.parse_known_args()
test_threshold(args)
#split_wavs(args)
错误:
Error Traceback (most recent call last)
<ipython-input-16-97e9b68095c0> in <module>()
17 args, _ = parser.parse_known_args()
18
---> 19 test_threshold(args)
20 #split_wavs(args)
6 frames
<ipython-input-14-fe4eeabe5e06> in test_threshold(args)
85 print('audio file not found for sub-string: {}'.format(args.fn))
86 return
---> 87 rate, wav = downsample_mono(wav_path[0], args.sr)
88 mask, env = envelope(wav, rate, threshold=args.threshold)
89 plt.style.use('ggplot')
<ipython-input-14-fe4eeabe5e06> in downsample_mono(path, sr)
14
15 def downsample_mono(path, sr):
---> 16 obj = wavio.read(path)
17 wav = obj.data.astype(np.float32, order='F')
18 rate = obj.rate
/usr/local/lib/python3.6/dist-packages/wavio.py in read(file)
166 with values that have been sign-extended.
167 """
--> 168 wav = _wave.open(file)
169 rate = wav.getframerate()
170 nchannels = wav.getnchannels()
/usr/lib/python3.6/wave.py in open(f, mode)
497 mode = 'rb'
498 if mode in ('r', 'rb'):
--> 499 return Wave_read(f)
500 elif mode in ('w', 'wb'):
501 return Wave_write(f)
/usr/lib/python3.6/wave.py in __init__(self, f)
161 # else, assume it is an open file object already
162 try:
--> 163 self.initfp(f)
164 except:
165 if self._i_opened_the_file:
/usr/lib/python3.6/wave.py in initfp(self, file)
141 chunkname = chunk.getname()
142 if chunkname == b'fmt ':
--> 143 self._read_fmt_chunk(chunk)
144 self._fmt_chunk_read = 1
145 elif chunkname == b'data':
/usr/lib/python3.6/wave.py in _read_fmt_chunk(self, chunk)
258 self._sampwidth = (sampwidth + 7) // 8
259 else:
--> 260 raise Error('unknown format: %r' % (wFormatTag,))
261 self._framesize = self._nchannels * self._sampwidth
262 self._comptype = 'NONE'
Error: unknown format: 3
推荐答案
检查波头，例如soxi 你会发现WAVE不是用int16写的格式，但 float.我怎么知道?这段代码读取wFormatTag代码>标签.在您的情况下，异常返回代码 3，即 FLOAT (参考).
Check the wave header with e.g. soxi and you will find that the WAVE was not written with int16 format, but float. How do I know that? This code reads the wFormatTag tag. In your case the exception returned with code 3 which is FLOAT (reference).
一种选择是使用 pySoundFile 并指定 float 作为数据格式.
One option would be to use pySoundFile and specify float as the data format.
import soundfile as sf
data, samplerate = sf.read('file.wav', dtype='float32')
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