Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model
Sound
2023-05-09 v1 Multimedia
Audio and Speech Processing
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.
Cite
@article{arxiv.2305.03982,
title = {Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model},
author = {Yu Cheng Hung and Ping Hung Chen and Jian Jiun Ding},
journal= {arXiv preprint arXiv:2305.03982},
year = {2023}
}
Comments
From ICCE-Taiwan