Automatic Transcription of Piano Music

@inproceedings{Raphael2002AutomaticTO,
  title={Automatic Transcription of Piano Music},
  author={Christopher Raphael},
  booktitle={ISMIR},
  year={2002}
}
A hidden Markov model approach to piano music transcription is presented. The main difficulty in applying traditional HMM techniques is the large number of chord hypotheses that must be considered. We address this problem by using a trained likelihood model to generate reasonable hypotheses for each frame and construct the search graph out of these hypotheses. Results are presented using a recording of a movement from Mozart’s Sonata 18, K. 570. 
Highly Cited
This paper has 130 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
70 Extracted Citations
15 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 70 extracted citations

130 Citations

01020'04'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 130 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…