Efficient and unique learning of in-car voice control for engineering education

This paper presents a software solution for the in-car voice control of the vehicles using an interactive educational application in MATLAB. The comparison of various digital filters for speech analysis gives the best possible solution for vehicles to opt for in-car voice features (car start, car stop, navigation on, etc). The comparative analysis of voice control is efficiently presented using adaptive, wiener, matched, lowpass, high pass and bandpass filters. This paper also deals with the fundamental concepts of digital signal processing in the form of students' learning from the educational tool. The basic concepts in the form of fast Fourier transform (FFT), power spectral density (PSD), joint time-frequency analysis (JTFA), comparison of voice samples with and without noise, and signal to noise ratio (SNR) of the voice samples before and after filtration could enable students to perform well in the signal processing modules.