Circular AMDF Pitch Detection Algorithm Based on Short-Time Energy
Pitch period is a key characteristic parameter of speech signal,but accurate extraction of the period is very difficult.It usually occurs that halving and doubling frequency errors appear in the estimated results during the pitch tracking of traditional algorithm like the auto correlation function(ACF) and the average magnitude difference function(AMDF).To solve this problem,a detection method of combining the short-time average energy with the circular average magnitude difference function(CAMDF) for pitch period is proposed.Experimental results indicate that,on the basis of effectively separating the voiced speech from the unvoiced speech,this method can increase the valley features of sampling point which indicates the voiced speech pitch period,reduce the halving,and doubling errors and improve the precision of estimated values.The performance of this method is better than that of the traditional algorithms.