pYIN — pitch and note tracking in monophonic audio

Publication Info

M. Mauch et al., “Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency,” in Proceedings of the First International Conference on Technologies for Music Notation and Representation, 2015.

BIBT_EX Format

@inproceedings{m2015a,
  author = {M. Mauch and C. Cannam and R. Bittner and G. Fazekas and J. Salamon and J. Dai and J. Bello and S. Dixon},
  title = {Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency},
  booktitle = {Proceedings of the First International Conference on Technologies for Music Notation and Representation},
  month = {May},
  note = {accepted},
  year = {2015}
}

Authors

• M. Mauch Queen Mary University of London
  
• C. Cannam Queen Mary, University of London
  
• R. Bittner New York University
  
• G. Fazekas Queen Mary, University of London
  
• J. Salamon New York University
  
• J. Dai Queen Mary, University of London
  
• J. Bello New York University
  
• S. Dixon Queen Mary, University of London
  

Title of Book or Proceedings

Proceedings of the First International Conference on Technologies for Music Notation and Representation

Publication Type

Article in conference proceedings

Month

May

Note

accepted

Year

2015

External URL: https://code.soundsoftware.ac.uk/attachments/download/1423/tony-paper_preprint.pdf