我是 Python 新手，這可能是一個菜鳥問題，我試圖用谷歌搜索并搜索解決方案，但我不明白，請善待，如果有人可以指導我完成這個？
我正在嘗試在另一個函式中回呼我的函式：
import csv
#import other libraries
#.......................................
def suara():
fs = 44100
seconds = 2
myrecording = sd.rec(int(seconds * fs), samplerate=fs, channels=2)
print("Memulai: Silahkan berbicara sekarang!")
sd.wait()
print("Selesai")
write((os.path.join('data', 'recordings', 'test', '0_login.wav')), fs, myrecording)
CREATE_CSV_FILES = True
# Defines the names of the CSV files
TRAIN_CSV_FILE = "train.csv"
TEST_CSV_FILE = "test.csv"
def extractWavFeatures(soundFilesFolder, csvFileName):
print("The features of the files in the folder " soundFilesFolder " will be saved to " csvFileName)
header = 'filename chroma_stft rmse spectral_centroid spectral_bandwidth rolloff zero_crossing_rate'
for i in range(1, 21):
header = f' mfcc{i}'
header = ' label'
header = header.split()
print('CSV Header: ', header)
file = open(csvFileName, 'w', newline='')
#with file:
writer = csv.writer(file)
writer.writerow(header)
genres = '1 2 3 4 5 6 7 8 9 0'.split()
for filename in os.listdir(soundFilesFolder):
number = f'{soundFilesFolder}/{filename}'
# print(number)
y, sr = librosa.load(number, mono=True, duration=30)
# remove leading and trailing silence
y, index = librosa.effects.trim(y)
chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)
rmse = librosa.feature.rms(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)}'
writer.writerow(to_append.split())
file.close()
print("End of extractWavFeatures")
#........................................................
我試圖在這里回呼這個函式：
def access(option):
global name
if(option=="login"):
name = input("Masukkan ID: ")
password = input("Masukkan Password: ")
login(name,password)
else:
suara()
def begin():
global option
print("="*45)
print(" | Selamat datang |")
print("-"*45)
print("Ketik 'login' jika anda ingin membuka pintu via nama dan password")
print("Ketik 'suara' jika anda inin membuka pintu via suara")
print("="*45)
option = input("slahkan masukkan (login/suara): ")
if(option!="login" and option!="suara"):
begin()
begin()
access(option)
但我收到以下錯誤：
(cloning2) C:\Users\thosiba\speaker-recognition>C:/Users/thosiba/Anaconda3/envs/cloning2/python.exe c:/Users/thosiba/speaker-recognition/login2.py
=============================================
| Selamat datang |
---------------------------------------------
Ketik 'login' jika anda ingin membuka pintu via nama dan password
Ketik 'suara' jika anda inin membuka pintu via suara
=============================================
slahkan masukkan (login/suara): suara
Memulai: Silahkan berbicara sekarang!
Selesai
The features of the files in the folder C:/Users/thosiba/speaker-recognition/data/recordings/train will be saved to train.csv
CSV Header: ['filename', 'chroma_stft', 'rmse', 'spectral_centroid', 'spectral_bandwidth', 'rolloff', 'zero_crossing_rate', 'mfcc1', 'mfcc2', 'mfcc3', 'mfcc4', 'mfcc5', 'mfcc6', 'mfcc7', 'mfcc8', 'mfcc9', 'mfcc10', 'mfcc11', 'mfcc12', 'mfcc13', 'mfcc14', 'mfcc15', 'mfcc16', 'mfcc17', 'mfcc18', 'mfcc19', 'mfcc20', 'label']
Traceback (most recent call last):
File "c:/Users/thosiba/speaker-recognition/login2.py", line 236, in <module>
access(option)
File "c:/Users/thosiba/speaker-recognition/login2.py", line 221, in access
suara()
File "c:/Users/thosiba/speaker-recognition/login2.py", line 79, in suara
extractWavFeatures("C:/Users/thosiba/speaker-recognition/data/recordings/train", TRAIN_CSV_FILE)
File "c:/Users/thosiba/speaker-recognition/login2.py", line 55, in extractWavFeatures
writer = csv.writer(file)
NameError: free variable 'csv' referenced before assignment in enclosing scope
我很確定它與呼叫函式或將其標記為全域有關，但我真的不明白在這種情況下如何解決它。對于這個冗長的問題，我很抱歉，因為我不知道如何更好地解釋。
uj5u.com熱心網友回復：
如果您csv在檔案中的任何位置（甚至在錯誤行下方）命名變數，則會導致此錯誤。嘗試將該變數的名稱更改為其他名稱。
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