Noise Robust Automatic Speech Recognizer for Voice Controlled Micro Air Vehicles
Conference: McGraw-Hill International Conference on Signal, Image Processing Communication and Automation
AbstractVoice controlled MAVs are an attractive feature to popularize MAV operation among the prospective users.\nHowever, its success depends on achieving good recognition rates in the presence of noise. This paper proposes Joint Lattice\npredictor for prediction of voice command in the presence of noise at the MAV operational environment. The developed\nalgorithm is integrated with the Mission Planner, an open source Ground Control Station (GCS) platform for controlling of\nMAVs. |
MH-ICSIPCA - 2017 |