Dataset Groups Activity Stream Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and Random Forest The proposed method uses a divide-and-conquer strategy for ensemble classification to recognize emotions in speech. BibTex: @dataset{Abdul_Malik_Badshah_and_Jamil_Ahmad_and_Mi_Young_Lee_and_Sung_Wook_Baik_2024, abstract = {The proposed method uses a divide-and-conquer strategy for ensemble classification to recognize emotions in speech.}, author = {Abdul Malik Badshah and Jamil Ahmad and Mi Young Lee and Sung Wook Baik}, doi = {10.57702/xq3jn3ln}, institution = {No Organization}, keyword = {'Emotion Recognition', 'MFCC', 'Random Forest'}, month = {dec}, publisher = {TIB}, title = {Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and Random Forest}, url = {https://service.tib.eu/ldmservice/dataset/divide-and-conquer-based-ensemble-to-spot-emotions-in-speech-using-mfcc-and-random-forest}, year = {2024} }