Title : 
Voice activity detection based on the bispectrum
         
        
            Author : 
Dou, Hui-jing ; Wu, Zhao-Yang ; Feng, Yan ; Qian, Yan-zhou
         
        
            Author_Institution : 
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
         
        
        
        
        
        
            Abstract : 
In order to improve the performance of voice activity detection under multiple noise environments, a new voice activity detection algorithm based on the bis-pectrum was presented. This method detect the speech signal by using the special slice of the bispectrum. The performance of the algorithm was compared with the voice activity detection algorithm in standard G.729 annex B of ITU in experimental simulation. Experimental results show that the algorithm has high classification accuracy and stability.
         
        
            Keywords : 
speech processing; ITU; bispectrum; multiple noise environment; speech signal detection; voice activity detection algorithm; Detection algorithms; Estimation; Noise measurement; Signal processing algorithms; Signal to noise ratio; Speech; bispectrum; noise environment; voice activity detection;
         
        
        
        
            Conference_Titel : 
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
         
        
            Conference_Location : 
Beijing
         
        
            Print_ISBN : 
978-1-4244-5897-4
         
        
        
            DOI : 
10.1109/ICOSP.2010.5655159