Paolo Nesi
Biographic Data
| ID | 7397927 |
|---|---|
| NAME | Paolo Nesi |
| GIVEN NAMES | Paolo |
| FAMILY NAME | Nesi |
| SIGNATURE | NESI P |
| AFFILIATIONS | University of Florence |
| ORCID | 0000-0003-1044-3107 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 0 |
Automatic formatting of music sheets through Milla rule-based language and engine
Automated music formatting helps composers and copyists to speed up the process of music score editing by facilitating complex evaluations needed to write correct music sheets in terms of symbol positioning, justification, and so on. Delegating this activity to the computer allows the composer/copyist to increase the efficiency by letting him or her concentrate on more creative aspects. Music formatting is one of the most relevant problems of pro…
Automatic Music Transcription Supporting Different Instruments
Automatic music recognition from an audio performance is a key challenge for coding music in Western music notation in the digital world. This problem has been addressed in several ways, obtaining suitable results when a single specific instrument and monophonic music are processed. The development of a system for automatic music transcription that is able to cope with different music instruments is the aim of this article. Experimental results h…
No prominent works on this page.
Automatic formatting of music sheets through Milla rule-based language and engine
Automated music formatting helps composers and copyists to speed up the process of music score editing by facilitating complex evaluations needed to write correct music sheets in terms of symbol positioning, justification, and so on. Delegating this activity to the computer allows the composer/copyist to increase the efficiency by letting him or her concentrate on more creative aspects. Music formatting is one of the most relevant problems of pro…
Automatic Music Transcription Supporting Different Instruments
Automatic music recognition from an audio performance is a key challenge for coding music in Western music notation in the digital world. This problem has been addressed in several ways, obtaining suitable results when a single specific instrument and monophonic music are processed. The development of a system for automatic music transcription that is able to cope with different music instruments is the aim of this article. Experimental results h…
Computer Science (2 works) · Music and Audio Processing (2 works) · Music Technology and Sound Studies (2 works) · Notation (2 works) · Speech recognition (2 works) · Arithmetic (1 work) · Audio signal (1 work) · Digital audio (1 work) · Disk formatting (1 work) · Linguistics (1 work)