Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model
Journal
2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
ISBN
9798350324174
Date Issued
2023-01-01
Author(s)
Abstract
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.
Subjects
fundamental frequency | music signal processing | pitch estimation | vocal signal enhancement
SDGs
Type
conference paper