Convolutional neural network for robust pitch determination

Hong Su; Hui Zhang; Xueliang Zhang; Guanglai Gao

ICASSP 2016accepted0 citations

Convolutional neural network for robust pitch determination

Hong Su, Hui Zhang, Xueliang Zhang, Guanglai Gao

Abstract

Pitch is an important characteristic of speech and is useful for many applications. However, pitch determination in noisy conditions is difficult. In this paper, we propose a supervised learning algorithm to estimate pitch using a convolutional neural network (CNN). Specifically, we use a CNN for pitch candidate selection, and dynamic programming for pitch tracking. Our experimental results show that the proposed method can obtain accurate pitch estimation and they show good generalization ability to new speakers and noisy conditions. We credit the success to the use of CNN, which is suitable for modeling the shift-invariant spectral feature for pitch detection.

BibTeX

@inproceedings{icassp2016_convolutionalneu,
  title = {Convolutional neural network for robust pitch determination},
  author = {Hong Su and Hui Zhang and Xueliang Zhang and Guanglai Gao},
  booktitle = {ICASSP 2016},
  year = {2016}
}