Abstract: A method of learning speech emotion recognition is disclosed, and includes receiving and storing raw speech data, performing pre-processing to the raw speech data to generate pre-processed speech data, receiving and storing a plurality of emotion labels, performing processing to the pre-processed speech data according to the plurality of emotion labels to generate processed speech data, inputting the processed speech data to a pre-trained model to generate a plurality of speech embeddings, and training an emotion recognition module according to the plurality of emotion labels and the plurality of speech embeddings.