Name
Abstract | ||
|---|---|---|
For automatically transcribing human-performed polyphonic music recorded in the MIDI format, rhythm and tempo are decomposed through proba- bilistic modeling using Viterbi search in HMM for recognizing the rhythm and EM Algorithm for esti- mating the tempo. Experimental evaluation are also presented. |
Year | Venue | Keywords |
|---|---|---|
2003 | ISMIR 2013 | em algorithm,human performance |
Field | DocType | Citations |
Transcription (linguistics),Viterbi search,Expectation–maximization algorithm,Computer science,MIDI,Speech recognition,Probabilistic logic,Polyphony,Hidden Markov model,Rhythm | Conference | 2 |
PageRank | References | Authors |
0.48 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haruto Takeda | 1 | 5 | 0.98 |
| Takuya Nishimoto | 2 | 227 | 28.95 |
| Shigeki Sagayama | 3 | 1217 | 137.97 |