Polyphonic Music Transcription Using Weighted CQT and Non-Negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is a useful method in music transcription. It achieves high speed computing and high performance. However, low frequency components are not fully detected and frequency confusion occurs occasionally in the conventional NMF based transcription algorithm. We propose a music transcription method using NMF with Weighted Constant-Q Transform (WCQT) to solve this problem. The filter bank of CQT is the same as that of the Western music scale interval, so the frequency components are well analyzed. And the weights on the CQT compensate the relatively small energy in low frequencies. We successfully transcribed polyphonic piano music with the proposed transcription algorithm, and the performance was better than that of the conventional method.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.