An improved pitch detection of speech combined with speech enhancement
Xin Xu, Tianqi Zhang, Sui Shi, Yajuan Zhang · 2014
For poor robustness issues of pitch detection of noisy speech, the improved pitch detection method combined with speech enhancement is proposed in this paper. Firstly, in order to reduce background noise and receive the clean speech relatively, we use the multi-band spectral subtraction and the masking properties of human auditory system to work on the noisy speech, and next use the energy and zero-crossing rate's product, quotient to adjudge the voiced part. Finally, the method of improved average magnitude difference function (AMDF) weighted autocorrelation function (ACF) is used for accurate pitch detection of the voiced. Theoretical and experimental simulations show that, the method can detect pitch accurately in low SNR, and the robustness improved significantly.