The Use of Cloud Speech Recognition Technology in Vehicle Diagnosis Applications

Abstract

This paper developed a speech controlled interface with cloud computing technology for vehicle on-board diagnostic (OBD) system. The proposed vehicle OBD system is constructed by two parts. They are OBD embedded global position system (GPS-OBD) module and vehicle surveillance server. The speech recognition task is performed in vehicle surveillance server, instead of GPS-OBD module. The speech signal spoken by driver will be first transferred into AMR format and then submitted to the speech recognition system built in the vehicle surveillance server via 3.5G wireless network. The proposed system can directly extract the speech features from AMR bit stream and carries out accurate speech recognition results. Meanwhile, the vehicle equipped with GPS-OBD module will consistently report its OBD-II data and GPS coordinates to the vehicle surveillance server. Hence, one can use the speech controlled interface to access vehicle operation information, e.g., vehicle location, vehicle speed, engine rpm, coolant temperature, fault code number, and others from GSP and OBD. The main advantage of the proposed system is that users do not need to install any speech recognition software in their GPS-OBD module before using the proposed cloud speech controlled interface. This will also benefit the cost and size reduction of the GPS-OBD module. The derivers could operate the proposed system without removing their eyes from the road and increase driving safety.