@inproceedings{5dd18b68f48d44c0b64a7d655bfb6996,
title = "Voice enabled smart drone control",
abstract = "In the era of smarter technology, human-machine interaction plays an important role. With the advancement of speech technology, it has come to human life with systems, robots and now in UAVs, making all of them smarter. But a low-cost, real-time and adaptive voice-based control system is still a dream. This paper tries to develop a voice-based control system based on open source reducing the production cost with zero-maintenance cost. It uses HMM-based speech recognition with speaker adaptation and applies control logics for controlling of a UAV.",
keywords = "Adaptive, Control, HMM, Human-machine interaction, Low-cost, Real-time, Speech-recognition, Universal, Voice-based control system",
author = "Fayjie, \{Abdur Razzaq\} and Amir Ramezani and Doukhi Oualid and Lee, \{Deok Jin\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 ; Conference date: 04-07-2017 Through 07-07-2017",
year = "2017",
month = jul,
day = "26",
doi = "10.1109/ICUFN.2017.7993759",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "119--121",
booktitle = "ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks",
}