Fast bayesian nmf algorithms enforcing harmonicity and temporal continuity in polyphonic music transcription
暂无分享,去创建一个
[1] Matija Marolt,et al. A connectionist approach to automatic transcription of polyphonic piano music , 2004, IEEE Transactions on Multimedia.
[2] P. Smaragdis,et al. Non-negative matrix factorization for polyphonic music transcription , 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).
[3] Roland Badeau,et al. Automatic transcription of piano music based on HMM tracking of jointly-estimated pitches , 2008, 2008 16th European Signal Processing Conference.
[4] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[5] Nancy Bertin,et al. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis , 2009, Neural Computation.
[6] Emmanuel Vincent,et al. Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Tuomas Virtanen,et al. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[8] Emmanuel Vincent,et al. Enforcing Harmonicity and Smoothness in Bayesian Non-Negative Matrix Factorization Applied to Polyphonic Music Transcription , 2010, IEEE Transactions on Audio, Speech, and Language Processing.