Joint Estimation of Multiple Notes and Inharmonicity Coefficient Based on ${f_0}$-Triplet for Automatic Piano Transcription

摘要

With the increasing importance of smart gadgets in our daily lives, there is a need for an automatic piano transcription system in various multimedia services. For automatic piano transcription, the string inharmonicity coefficient ($B$ ) and fundamental frequency (${f_0}$) should be detected robustly and accurately. The proposed triplet-sequentially additive partial (SAP) algorithm improves the current $B$ estimation algorithm in terms of both performance and speed with less prior knowledge. Additionally, this joint ($B$ , ${f_0}$ ) estimation algorithm is applied directly to the transcription of real piano recordings, and the 4.41% improvement of accuracy was achieved over another transcription system that had both similar processing steps and feature extraction method.