Voicing parameter and energy based speech/non-speech detection for speech recognition in adverse conditions

In adverse conditions, the speech recognition performances decrease in part due to imperfect speech/non-speech detection. In this paper, a new combination of voicing parameter and energy for speech/non-speech detection is described. This combination avoids especially the noise detections in real life very noisy environments and provides better performances for continuous speech recognition. This new speech/non-speech detection approach outperforms both noise statistical based 1 and Linear Discriminate Analysis (LDA) based 2 criteria in noisy environments and for continuous speech recognition applications.