VNEMOS

This research introduces the dataset that we created to test voice emotional recognition models with Vietnamese data. The data set is the result of research, testing, and filtering 250 emotional segments from movie, movie series and live show divided equally for 5 basic emotional states of humans: “anger, happiness, sadness, neutral and anxiety”, VNEMOS contains approximately 30 minutes long. This dataset brings a balanced and diverse emotional set to study emotional recognition issues related to understanding human mood and emotions. Through evaluation Our dataset achieved a 89% accuracy, showcasing the adeptness at capturing the essence of positive emotions and robust learning capabilities in real-world scenarios. By clarifying these nuances. Our research will contribute much to future work on emotion recognition and signal processing in Vietnamese and data using human psychological science. Detailed information of the dataset is in the following link: “bit.ly/VNEMOS”.