Comments (5)
In this project, we have used human speech signals for detecting the emotions. Now since these voice samples can vary in time, we need to convert them to a common shape that requires padding (neural networks require data in a fixed shape for training).
Either whole data can be padded altogether or batch-wise, the later one is more memory efficient and we have used Bucket Iterator for the same.
Bucket Iterator takes the batch size as the parameter and returns a random padded batch of data including both input and its corresponding label.
from speech-emotion-recognition.
I want to know what is the main function of 'Mel.py' , Just want to show the difference between FBANK and MFCC?
from speech-emotion-recognition.
Yes, it is just for reference and understanding Mel.
from speech-emotion-recognition.
when i copy your ‘class BucketedDataIterator():’
I don't know where the problem is. Can you help me?
Traceback (most recent call last):
File "D:/Project/pycharm/RNN/create_mfcc.py", line 164, in
mini_batch = tr.next_batch(128)
File "D:/Project/pycharm/RNN/create_mfcc.py", line 160, in next_batch
x_i[:res['lengths'].values[i]] = res['MFCC'].values[i]
TypeError: slice indices must be integers or None or have an index method
from speech-emotion-recognition.
my file like this:
........................................................... MFCC ........................................... lengths
0 [[-10.494777560823318, 19.205118287686812, 16.... ... 1099.0
1 [[-11.632857909892738, 5.8760442872698695, 29.... ... 1099.0
2 [[-8.773702814090234, -12.86215112148708, -7.2... ... 299.0
3 [[-8.411895008114222, -1.9307392294278005, -7.... ... 299.0
4 [[-6.969186995608002, -17.02179303376442, -23.... ... 299.0
from speech-emotion-recognition.
Related Issues (9)
- Data Prep HOT 2
- Link for speech_emotion_data.pkl HOT 1
- Emotion values HOT 1
- No Features columns in create_mfcc.ipynb HOT 4
- zero_crosses should be '/320' not '/0.02', shouldn't it? HOT 1
- Where is the speech_emotion_data.pkl? HOT 10
- misssing files Ses01F_script01_2_F008.wav and microsoft_32_features.pkl HOT 2
- Link for Dataset HOT 2
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from speech-emotion-recognition.