Voice Activity Detection Based on Sub-band Reprocessed Pectrum Entropy
Bangjun Lei · Microelectronics & Computer · 2011
Voice activity detection(VAD) in strong noise environments is improved by an algorithm based on subband reprocessed spectrum entropy(BRSE).As a new feature parameter for VAD,the reprocessed spectrum is calculated firstly,and reprocessed spectrum entropy is then calculated with multi-sub-band analysis.The order statistics filter is selected to smooth the BRPE.A new voice / noise discrimination algorithm is proposed by combining the finite state machine(FSM) with BRSE.The misdetections caused by single-threshold are reduced greatly.Experimental results show that the proposed algorithm has higher accuracy and stronger robustness than other two methods.