In this paper, we propose a supervised learning algorithm to estimate pitch using a convolutional neural network (CNN).

The feature mapping neural network serves as a noise normalization module aiming at explicitly generating the clean features which are easier to estimate pitch ...

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 ...

Su and Zhang propose to use convolution neural network (CNN) [15] . The deep learning approaches indeed could significantly improve the pitch estimation ...

Our experimental results show that the proposed method can obtain accurate pitch estimation and they show good generalization ability to new speakers and noisy ...

In this work, we propose a Multi-Branch CNN- LSTM-based Temporal Neural Network for pitch and voicing determination.

Missing: Convolutional | Show results with:Convolutional

Our experimental results show that the proposed method can obtain accurate pitch estimation and they show good generalization ability to new speakers and noisy ...

In this paper, we propose a data-driven pitch tracking algorithm, CREPE, which is based on a deep convolutional neural network that operates directly on the ...

Aug 12, 2022 · CREPE is a deep convolutional neural network-based pitch estimation method based on the time-domain signal [30]. CREPE is claimed to be slightly ...