Enhancing Driving Control via Speech Recognition Utilizing Influential Parameters in Deep Learning Techniques

• DOI: 10.3390/electronics14030496
• Publication Date: 2025-01-27T14:42:23Z
• Authors: Hasan H. Hussein; Oguz Karan; Sefer Kurnaz

This study investigates the enhancement of automated driving and command control through speech recognition using a Deep Neural Network (DNN). The method depends on some sequential stages such as noise removal, feature extraction from audio file, their classification neural network. In proposed approach, variables that affect results in hidden layers were extracted stored vector to classify them issue most influential ones for feedback network increase accuracy result. result was 93% terms with very good response time 0.75 s, PSNR 78 dB. is considered promising highly satisfactory users. encouraged use more commands, data processing, future exploration, addition sensors efficiency system obtain efficient safe driving, which main goal this research.