Speech enhancement for robust speech recognition in car environments using griffiths-jim ANC based on two-paired microphones

This paper presents a speech enhancement method which is to improve the speech recognition in car noisy environments. Conventional single and two channel algorithms differ from recognition performance according to each microphone's position (channel). Moreover, there is an ever-increasing demand for safety in cars, and speech recognition systems are nowadays often used. In this paper, we propose a method, hybrid algorithm using the Griffiths-Jim adaptive noise cancellation (ANC) based on two-paired microphones, which improved speech recognition result from reduced noise signal. The simulated experiments showed us that the proposed algorithm is effective in realized car environments, which is unrelated to channels in a car.