Revolutionizing Vehicle Autonomous Control: NLP-Powered Voice Command System

Primary Investigator (PI) Name

Md Abdullah Al Hafiz Khan

Department

CCSE - Computer Science

Abstract

The fusion of Natural Language Processing (NLP) and voice control systems has revolutionized human-machine interactions. This project focuses on the system interpretation of the commands from drivers and passengers, enhancing safety and convenience. The process begins with a diverse voice dataset of vehicular commands. Data preprocessing, noise reduction, and feature extraction convert raw voice data into a trainable format. An Automatic Speech Recognition (ASR) model ensures precise voice recognition, while advanced NLP techniques decode the intent of voice commands. The system understands nuanced requests like “turn on the headlights” or “Change gear to D2.” This project uses pre-existing voice datasets, promising safer and more intuitive driving experiences. As the system matures, it paves the way to autonomous driving. Leveraging existing voice datasets, this innovative project enhances driving safety and convenience, laying the groundwork for the future of autonomous vehicles.

Disciplines

Artificial Intelligence and Robotics | Computer Sciences

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Revolutionizing Vehicle Autonomous Control: NLP-Powered Voice Command System

The fusion of Natural Language Processing (NLP) and voice control systems has revolutionized human-machine interactions. This project focuses on the system interpretation of the commands from drivers and passengers, enhancing safety and convenience. The process begins with a diverse voice dataset of vehicular commands. Data preprocessing, noise reduction, and feature extraction convert raw voice data into a trainable format. An Automatic Speech Recognition (ASR) model ensures precise voice recognition, while advanced NLP techniques decode the intent of voice commands. The system understands nuanced requests like “turn on the headlights” or “Change gear to D2.” This project uses pre-existing voice datasets, promising safer and more intuitive driving experiences. As the system matures, it paves the way to autonomous driving. Leveraging existing voice datasets, this innovative project enhances driving safety and convenience, laying the groundwork for the future of autonomous vehicles.