A Improved Method for Robust Speech Recognition
Jinghua Liu · Journal of Huaqiao University · 2009
In order to improve the speech recognition accuracy in noisy environments,an algorithm proposed,which combines the signal level with the characteristic parameter level antinoise algorithm.At first,MMSE algorithm is used for the speech enhacement module,and then,new robust features RAS-MFCC effectively suppressed the additive and convolutional noise.The results show that this algorithm effectively improves the speech recognition accuracy in noisy environments,especially in low signal-to-noise ratio(SNR) conditions.