https://scholars.lib.ntu.edu.tw/handle/123456789/637188
標題: | Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model | 作者: | Hung, Yu Cheng PING-HUNG CHEN JIAN-JIUN DING |
關鍵字: | fundamental frequency | music signal processing | pitch estimation | vocal signal enhancement | 公開日期: | 1-一月-2023 | 來源出版物: | 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637188 | ISBN: | 9798350324174 | DOI: | 10.1109/ICCE-Taiwan58799.2023.10226907 |
顯示於: | 電機工程學系 |
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