基本用不了啊，好多依赖数据都没有，也没有生成逻辑。

IEMOCAP_PATH = "data/iemocap.pickle"
IEMOCAP_BALANCED_PATH = "data/iemocap_balanced.pickle"
IEMOCAP_BALANCED_ASR_PATH = "data/iemocap_balanced_asr.pickle"
IEMOCAP_FULL_PATH = "data/IEMOCAP_full_release"
LINGUISTIC_DATASET_PATH = "data/linguistic_features.npy"
LINGUISTIC_LABELS_PATH = "data/linguistic_labels.npy"
ACOUSTIC_FEATURES_PATH = "data/acoustic_features.npy"
ACOUSTIC_LABELS_PATH = "data/acoustic_labels.npy"
LINGUISTIC_DATASET_ASR_PATH = "data/linguistic_features_asr.npy"
LINGUISTIC_LABELS_ASR_PATH = "data/linguistic_labels_asr.npy"
SPECTROGRAMS_FEATURES_PATH = "data/spectrograms_features.npy"
SPECTROGRAMS_LABELS_PATH = "data/spectrograms_labels.npy"
MAPPING_ID_TO_SAMPLE_PATH = "data/id_to_sample.json"

这些文件都是怎么生成的？？

IEMOCAP_PATH = "data/iemocap.pickle"
IEMOCAP_BALANCED_PATH = "data/iemocap_balanced.pickle"
IEMOCAP_BALANCED_ASR_PATH = "data/iemocap_balanced_asr.pickle"
IEMOCAP_FULL_PATH = "data/IEMOCAP_full_release"
LINGUISTIC_DATASET_PATH = "data/linguistic_features.npy"
LINGUISTIC_LABELS_PATH = "data/linguistic_labels.npy"
ACOUSTIC_FEATURES_PATH = "data/acoustic_features.npy"
ACOUSTIC_LABELS_PATH = "data/acoustic_labels.npy"
LINGUISTIC_DATASET_ASR_PATH = "data/linguistic_features_asr.npy"
LINGUISTIC_LABELS_ASR_PATH = "data/linguistic_labels_asr.npy"
SPECTROGRAMS_FEATURES_PATH = "data/spectrograms_features.npy"
SPECTROGRAMS_LABELS_PATH = "data/spectrograms_labels.npy"
MAPPING_ID_TO_SAMPLE_PATH = "data/id_to_sample.json"

这些文件都是怎么生成的？？

What's this?

这个文件是怎么生成的？iemocap_balanced_asr.pickle
代码里看不见生成这个文件的逻辑。

Hi, I would appreciate english :)
I will add info in docstrings to the module and let you know

I added the comments to github.com/PiotrSobczak/speech-emotion-recognition/blob/master/speech_emotion_recognition/data_loader.py.

"""
1.Download IEMOCAP dataset from https://sail.usc.edu/iemocap/
2.Use github.com/didi/delta/blob/master/egs/iemocap/emo/v1/local/python/mocap_data_collect.py to get dataset pickle
3.Use create_balanced_iemocap() to get balanced version of iemocap dataset containing 4 classes
4.Use load_<DATASET_TYPE>_dataset to load a specific dataset. 
*The first time you use load functions it will be created from pickle. This might take a while...
*The next time you use load functions you will load cached .npy files for faster loading
"""

I'm closing the issue, reopen if need more info. :)

thanks ~

@hanling6889580 I moved the info to README, turned out its quite important :D

I added the comments to github.com/PiotrSobczak/speech-emotion-recognition/blob/master/speech_emotion_recognition/data_loader.py.

"""
1.Download IEMOCAP dataset from https://sail.usc.edu/iemocap/
2.Use github.com/didi/delta/blob/master/egs/iemocap/emo/v1/local/python/mocap_data_collect.py to get dataset pickle
3.Use create_balanced_iemocap() to get balanced version of iemocap dataset containing 4 classes
4.Use load_<DATASET_TYPE>_dataset to load a specific dataset. 
*The first time you use load functions it will be created from pickle. This might take a while...
*The next time you use load functions you will load cached .npy files for faster loading
"""

But a new problem is here:
How to get the file of embeddings_array.numpy and word_to_index.pickle?

speech-emotion-recognition/speech_emotion_recognition/word2vec_wrapper.py

Lines 14 to 15 in 8ecbcf1

    
           cls.embedding_array = np.load("data/embeddings_array.numpy") 
        
           cls.word_to_index = pickle.load(open("data/word_to_index.pickle", "rb"))

😭 I have no any way to get them...

	cls.embedding_array = np.load("data/embeddings_array.numpy")
	cls.word_to_index = pickle.load(open("data/word_to_index.pickle", "rb"))