Comments (1)
Due to happy emotion has the smallest number among these emotions and we have to consider the imbalance of the training data, for example, we use happy training data twice.
from speech-emotion-recognition.
Related Issues (20)
- how train with EmoBD (7 emotion)
- Incompatible shapes: [654] vs. [436] HOT 1
- 关于utils.py测试的问题 HOT 7
- 数据处理部分 HOT 1
- 对代码的几点疑惑 HOT 1
- train loss 下降,但valid loss 有下小降,然后大幅上升
- train loss 下降,但valid loss 有下小降,然后大幅上升 HOT 1
- 数据集的处理问题 HOT 5
- 关于特征提取问题 HOT 1
- 关于one_hot编码 HOT 3
- 关于utils.py,关于berlin库 HOT 2
- Did not found the IEMOCAP DATASET
- 一些文件没有用到
- No module named 'python_speech_features
- IndexError: index 4833 is out of bounds for size 4800 HOT 1
- Can you provide Checkpoint, please HOT 1
- How to use 'Happy' data twice HOT 1
- How to use model1.py? HOT 1
- 进行模型评估的时候报错 key cnn/unit-1/bn1/beta not found,求解答,谢谢 HOT 1
- KeyError: 'wav\\Ses01F_impro01\\Ses01F_impro01_F000'
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from speech-emotion-recognition.