Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions

This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time frame is the observation and the F0s are the parameters to be estimated. When defining the likelihood model, the proposed method models both spectral peaks and non-peak regions (frequencies further than a musical quarter tone from all observed peaks). It is shown that the peak likelihood and the non-peak region likelihood act as a complementary pair. The former helps find F0s that have harmonics that explain peaks, while the latter helps avoid F0s that have harmonics in non-peak regions. Parameters of these models are learned from monophonic and polyphonic training data. This paper proposes an iterative greedy search strategy to estimate F0s one by one, to avoid the combinatorial problem of concurrent F0 estimation. It also proposes a polyphony estimation method to terminate the iterative process. Finally, this ...

• Type: Journal
• Year: 2010
• Where: TASLP
• Authors: Zhiyao Duan, Bryan Pardo, Changshui Zhang
• Keywords: Estimation, Non-peak Regions, Polyphony Estimation, Software Engineering, TASLP 2010