A New Method for Pitch Detection in Strong Noise Based on CASA
Xueqin Chen · Journal of Circuits and Systems · 2003
Based on computational auditory scene analysis(CASA), a pitch detection algorithm is proposed to solve the problem of pitch detecting in strong noisy background. According to this algorithm, human auditory feature is utilized, and is applied to pitch detecting in low SNR and other speech disturbance problems. It is shown from simulation experiments that the proposed pitch detection algorithm is very effective.