Cluster search optimisation of deep neural networks for audio emotion classification

Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao

Abstract: Highlights•Evolving transformer and deep networks are devised for audio emotion recognition.•A Cluster Search Optimisation algorithm is proposed to adapt hyperparameters.•It incorporates Noise Tempered K-means clustering and Cluster Distance Improvement.•The Q-learning algorithm is used to optimise search behaviours.•Our study indicates CSO-optimised deep networks’ effectiveness across datasets.