Title :
Pitch estimator for noisy speech signals
Author :
Shedied, Sumy A. ; Gadalah, M.E. ; VanLundingham, H.F.
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
In this paper, a new noise-immune algorithm for the pitch estimation of speech signals is introduced. The main features of this algorithm are its accurate pitch value estimation in severe noisy environments and its capability of also being used as a speech enhancer. The algorithm is based on both the principles of using an adaptive digital filter (ADF) as a self-tuning filter, first introduced by J.R. Widrow et al. (1975), and the use of the ADF for speech enhancement, as introduced by M.R. Sambour (1978)
Keywords :
acoustic noise; adaptive filters; digital filters; frequency estimation; self-adjusting systems; speech enhancement; accuracy; adaptive digital filter; noise-immune algorithm; noisy speech signals; pitch estimation; self-tuning filter; severe noisy environments; speech enhancement; Adaptive filters; Additive white noise; Delay; Detection algorithms; Digital filters; Gaussian noise; Noise cancellation; Signal to noise ratio; Speech enhancement; Working environment noise;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884971
