Voice Detection using Speech Energy Maximization and Silence Feature Normalization
In-Sung Han, Chan-Shik Ahn · Advanced science and technology letters · 2014
The estimation of noises is very important to remove noises from voices with background noises. This paper proposed a voice detection method using a silence feature normalization and voice energy maximize. In the high signal-to-noise ratio for the proposed method was used to maximize the characteristics receive less characterized the effects of noise by the voice energy. Cepstral feature distribution of voice/non-voice characteristics in the low signal-to-noise ratio and improves the recognition performance. Result of the recognition experiment, recognition performance improved compared to the conventional method.