【发布时间】:2021-03-20 10:04:43
【问题描述】:
# Save directory path in 'path'
path = r'---path '
# Declare a dummy Numpy array (row vector)
result_array = np.empty([1,54])
# Create a list of audio file names 'file_list'
file_list = os.listdir(path)
i=0
for filename in file_list:
# Read WAV file. 'rosa.core.load' returns sampling frequency in 'fs' and audio signal in 'sig'
sig, fs = rosa.core.load(path + '\\' + file_list[i], sr=None)
# Calculate the average mfcc (utterance-level features) using 'rosa.feat.mfcc()' and 'np.mean' method. '.T' transposes the rows and columns. 'axis=0' indicates average is calculated column-wise
avg_mfcc_feat = np.mean(rosa.feature.mfcc(y=sig, sr=fs, n_mfcc=26).T,axis=0)
# Calculate the standard deviation of mfcc (utterance-level features) using 'rosa.feat.mfcc()' and 'np.std' method. '.T' transposes the rows and columns. 'axis=0' indicates average is calculated column-wise
std_mfcc_feat = np.std(rosa.feature.mfcc(y=sig, sr=fs, n_mfcc=26).T,axis=0)
# Calculate the average zero crossing rate (utterance-level feature) using 'rosa.feat.zero_crossing_rate()' and 'np.mean' method. '.T' transposes the rows and columns. 'axis=0' indicates average is calculated column-wise
zcross_feat = rosa.feature.zero_crossing_rate(sig)
avg_zcross_feat = np.mean(rosa.feature.zero_crossing_rate(y=sig).T,axis=0)
# Append the three 1D arrays into a single 1D array called 'feat'.
feat0 = np.append(avg_mfcc_feat, std_mfcc_feat, axis=0)
feat1 = np.append(feat0, avg_zcross_feat, axis=0)
# Save emotion label from file name. 'path' contains directory's address, 'file_list' contains file name, and '\\' joins the two to form file's address
label = os.path.splitext(os.path.basename(path + '\\' + file_list[i]))[0].split('-')[2]
# Create a new Numpy array 'sample' to store features along with label
sample = np.insert(feat1, obj=53, values=label)
result_array = np.append(result_array, sample)
i+=1
# Print out the 1D Numpy array
result_array
我在尝试读取内容并循环遍历 Ravdess 数据集的子目录时遇到此错误。有人可以告诉我我做错了什么吗?任何帮助都深表感谢。谢谢!
【问题讨论】:
标签: python audio processing