Improved Hybrid Swarm Intelligence Algorithm for Voice Command Recognition
Jamal Salahaldeen Majeed Alneamy, Ghada Mohammad Tahir Kasim Aldabagh · Journal of Southwest Jiaotong University · 2020
Swarm intelligence involves the aggregation of the boids, which interact with each other in their own environment. The boids are agents that follow simple rules in the absence of centralized structure. The Artificial Neural Network is also known as a connectionist system that originated from the biological neural network. The aim of the present study is to improve the hybrid swarm intelligence algorithm for voice command recognition. The proposed algorithm hybrid combines the lion optimization algorithm with the fish swarm algorithm, and was improved upon using voice features. Approximately ten voice commands were recorded, including “open”, “close”, “open door”, “close door”, “open window”, “close window”, “on”, “off”, “play”, and “stop”.