Voice Control of Industrial and Medical Devices in Noisy Environments

This diploma thesis deals with voice control of industrial and medical devices in noisy environments. Different speech recognition models and methods for noise supression in speech signals are compared. Based on the research and conducted testing, a custom voice control system is designed. The system consists of a wake word detection model and a model for the predefined commands recognition. An audio response for the operator and a script execution based on the recognized commands is also implemented in the system. A modification for automatic door opening of the OpenTube2 laboratory box was designed