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Mobile technology plays a vital role in modern era. In the emerging trend of speech technologies, speech/non-speech detection is an unsolved problem, which affects numerous speech related applications. One of the major reasons for these thefts is the unauthenticated access to the car doors and engine. Recently the Remote keyless system emerged for users to operate their cars without keys. For identifying the speech signal, Automatic speech recognition is used. It identifies the signal from the particular person with the help of Voice Active Detector (VAD). It is widely used within the field of speech communication for achieving high speech coding efficiency and low-bit rate transmission. These identify the signal and prioritize the unwanted noise signal using Hidden Markov Model (HMM). In our system, we propose a novel way for keyless entry enabled through mobile phone. The user can dial a specific number connected to the car and can give voice commands. The system built in the car receives the voice commands, goes for voice recognition & authentication. By employing Mel Frequency Cepstral Coefficients (MFCC) processor, the speech will be recognized. After positive authentication, it obeys the command of the car owner. The normal operation based on voice commands are Car Door Lock/Unlock, Engine ON/OFF etc.

A Novel Method for Identifying the Keyless Authentication Entry System using Mobile for Auto Mobiles (CAR)