| Automatic extraction of tempo and beat from expressive performances S Dixon Journal of New Music Research 30 (1), 39-58, 2001 | 561 | 2001 |
| Onset detection revisited S Dixon Proceedings of the 9th International Conference on Digital Audio Effects 120 …, 2006 | 483 | 2006 |
| Wave-u-net: A multi-scale neural network for end-to-end audio source separation D Stoller, S Ewert, S Dixon arXiv preprint arXiv:1806.03185, 2018 | 407 | 2018 |
| Automatic music transcription: challenges and future directions E Benetos, S Dixon, D Giannoulis, H Kirchhoff, A Klapuri Journal of Intelligent Information Systems 41 (3), 407-434, 2013 | 366 | 2013 |
| An end-to-end neural network for polyphonic piano music transcription S Sigtia, E Benetos, S Dixon IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 927-939, 2016 | 310 | 2016 |
| An experimental comparison of audio tempo induction algorithms F Gouyon, A Klapuri, S Dixon, M Alonso, G Tzanetakis, C Uhle, P Cano IEEE Transactions on Audio, Speech, and Language Processing 14 (5), 1832-1844, 2006 | 294 | 2006 |
| pYIN: A fundamental frequency estimator using probabilistic threshold distributions M Mauch, S Dixon 2014 ieee international conference on acoustics, speech and signal …, 2014 | 288 | 2014 |
| Approximate Note Transcription for the Improved Identification of Difficult Chords. M Mauch, S Dixon ISMIR, 135-140, 2010 | 241 | 2010 |
| A review of automatic rhythm description systems F Gouyon, S Dixon Computer music journal 29 (1), 34-54, 2005 | 236 | 2005 |
| Evaluation of the audio beat tracking system beatroot S Dixon Journal of New Music Research 36 (1), 39-50, 2007 | 234 | 2007 |
| A survey of music recommendation systems and future perspectives Y Song, S Dixon, M Pearce 9th international symposium on computer music modeling and retrieval 4, 395-410, 2012 | 216 | 2012 |
| Match: A music alignment tool chest S Dixon, G Widmer 6th International Conference on Music Information Retrieval, 492-497, 2005 | 214 | 2005 |
| Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004 | 205 | 2004 |
| Simultaneous estimation of chords and musical context from audio M Mauch, S Dixon IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1280-1289, 2009 | 201 | 2009 |
| Evaluating rhythmic descriptors for musical genre classification F Gouyon, S Dixon, E Pampalk, G Widmer Proceedings of the AES 25th International Conference 196, 204, 2004 | 195 | 2004 |
| Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004 | 193 | 2004 |
| Automatic music transcription: An overview E Benetos, S Dixon, Z Duan, S Ewert IEEE Signal Processing Magazine 36 (1), 20-30, 2018 | 167 | 2018 |
| In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003 | 161 | 2003 |
| Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003 | 157 | 2003 |
| Using Musical Structure to Enhance Automatic Chord Transcription. M Mauch, KC Noland, S Dixon ISMIR, 231-236, 2009 | 143 | 2009 |
Emmanouil BenetosQueen Mary University of London / The Alan Turing Instituteqmul.ac.uk의 이메일 확인됨
