Cite this paper
Dhar, S., Ghosh, A., Roy, S., Mazumder, A., Jana, N.D. (2023). Hyperparameter Optimization of CNN Using Genetic Algorithm for Speech Command Recognition. In: Das, S., Saha, S., Coello Coello, C.A., Bansal, J.C. (eds) Advances in Data-driven Computing and Intelligent Systems. Lecture Notes in Networks and Systems, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-99-0981-0_10
In this repository you will find mini speech command folder in which there is our dataset. It consists of 8 speech commands: up,down,left,right,go,stop,yes,no. There is Avirup_Swarup folder in which there is our codes in .ipynb extension format. The main code is Speech_command_classification.ipynb. We have used here a 13 layer CNN,the hyperparameters of which has been optimized using Genetic Algorithm Neural Architecture Search(GA-NAS).