Automated Music Composition, Performance and Accompaniment
- LecturerProf. Shigeki Sagayama (Department of Information Physics and Computing & Graduate School of Information Science and Technology, The University of Tokyo)
Host: Dr. Hsin-Min Wang - Time2010-12-17 (Fri.) 10:30 – 12:00
- LocationAuditorium 106 at new IIS Building
Abstract
Music has become one of daily essentials in our modern life. Most
people enjoy listening to their favorite music and spend considerable
time with music. But, one step forward to playing music and composing
music are still not easy for everyone. An automatic music
composition system ("Orpheus") for given lyrics will be introduced
as a combination of music theory, linguistics and a speech recognition
algorithm. Also, an automatic performance rendering system
("Polyhymnia") of piano pieces will be discussed from a probabilistic
approach using conditional random field. Automatic orchestral
accompaniment ("Euridice") may be useful for those who plays the piano
but cannot have a chance to play with orchestras as another
application of HMM (Hidden Markov Model) from the speech recognition
technology. If time allows, other topics related to music signal
processing including harmonic-percussive sound separation, sound
separation of polyphonic audio signals, music genre recognition,
chord recognition, etc. will also be discussed.