Piano music transcription with fast convolutional sparse coding
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[1] Anssi Klapuri,et al. Automatic music transcription: challenges and future directions , 2013, Journal of Intelligent Information Systems.
[2] Hideki Kawahara,et al. YIN, a fundamental frequency estimator for speech and music. , 2002, The Journal of the Acoustical Society of America.
[3] Daniel P. W. Ellis,et al. Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments , 2011, IEEE Journal of Selected Topics in Signal Processing.
[4] Paris Smaragdis,et al. Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs , 2004, ICA.
[5] Clive A. Greated,et al. The Musician's Guide to Acoustics , 1987 .
[6] Mark D. Plumbley,et al. Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[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] Tuomas Virtanen,et al. Multichannel audio upmixing based on non-negative tensor factorization representation , 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[9] Mark D. Plumbley,et al. A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[10] Ping-Keng Jao,et al. Informed monaural source separation of music based on convolutional sparse coding , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Zhiyao Duan,et al. Piano music transcription modeling note temporal evolution , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Brendt Wohlberg,et al. Efficient convolutional sparse coding , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] Tillman Weyde,et al. Template Adaptation for Improving Automatic Music Transcription , 2014, ISMIR.
[14] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[15] Roland Badeau,et al. Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[16] Jérôme Idier,et al. Algorithms for Nonnegative Matrix Factorization with the β-Divergence , 2010, Neural Computation.
[17] Simon Dixon,et al. A Shift-Invariant Latent Variable Model for Automatic Music Transcription , 2012, Computer Music Journal.
[18] Simon Dixon,et al. Modelling the decay of piano sounds , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[19] Yi-Hsuan Yang,et al. Multipitch Estimation of Piano Music by Exemplar-Based Sparse Representation , 2012, IEEE Transactions on Multimedia.
[20] 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).
[21] Tom Barker,et al. Non-negative tensor factorisation of modulation spectrograms for monaural sound source separation , 2013, INTERSPEECH.
[22] Mike E. Davies,et al. Sparse and shift-Invariant representations of music , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[23] Bhiksha Raj,et al. Non-negative Hidden Markov Modeling of Audio with Application to Source Separation , 2010, LVA/ICA.
[24] Graham W. Taylor,et al. Deconvolutional networks , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[25] Mark D. Plumbley,et al. Sparse representations of polyphonic music , 2006, Signal Process..
[26] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[27] Bhiksha Raj,et al. A Probabilistic Latent Variable Model for Acoustic Modeling , 2006 .