Paper ID: 2305.03982

Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model

Yu Cheng Hung, Ping Hung Chen, Jian Jiun Ding

Pitch estimation is to estimate the fundamental frequency and the midi number and plays a critical role in music signal analysis and vocal signal processing. In this work, we proposed a new architecture based on a learning-based enhancement preprocessor and a combination of several traditional and deep learning pitch estimation methods to achieve better pitch estimation performance in both noisy and clean scenarios. We test 17 different types of noise and 4 SNRdb noise levels. The results show that the proposed pitch estimation can perform better in both noisy and clean scenarios with short response time.

Submitted: May 6, 2023