This paper presents the use of lip-reading and Thai speech to control electronic devices in a vehicle. The Viola-Jones algorithm detects the face of the driver and the constrained local model detects their mouth area before three lips features are extracted. Hidden Markov models are utilized to recognize speech and lip movement, with the lip movement recognizer offering better accuracy than the speech recognizer in a noisy environment. Three fusion methods are utilized to combine lipmovement and speech. We propose the use of vehicle speed for selecting the appropriate recognizer for different speech signalto-noise ratios.