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arXiv · 2305.03982

Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model

Yu Cheng Hung·Ping Hung Chen·Jian Jiun Ding
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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.

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Yu Cheng Hung, Ping Hung Chen, Jian Jiun Ding. 2023-05-06. Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model. https://arxiv.org/abs/2305.03982

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