Research output per year
Research output per year
Johan Sward, Hongbin Li, Andreas Jakobsson
Research output: Contribution to journal › Article › peer-review
In this paper, we propose a gridless method for estimating an unknown number of fundamental frequencies. Starting with a conventional dictionary matrix, containing sets of candidate fundamental frequencies and their corresponding harmonics, a non-convex log-sum cost function is formed such that it imposes the harmonic structure and treats every fundamental frequency in the dictionary as a parameter. The cost function is iteratively decreased by minimizing a surrogate function, and, in each iteration, the fundamental frequencies are refined, whereas redundant parameters are omitted from the dictionary. The proposed method is tested on both real and simulated data, showing its preferred performance as compared to other state-of-the-art multi-pitch estimators.
Original language | English |
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Pages (from-to) | 296-303 |
Journal | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Volume | 26 |
Issue number | 2 |
Early online date | 2017 Nov 18 |
DOIs | |
Publication status | Published - 2018 Feb |
Research output: Thesis › Doctoral Thesis (compilation)