Music score alignment and computer accompaniment
نویسندگان
چکیده
منابع مشابه
Computer Accompaniment and Music Understanding1
Music Understanding is the recognition or identification of structure and pattern in musical information. Five music understanding projects are discussed. In the first, Computer Accompaniment of Melodic Instruments, the goal is for a computer system to listen to and play along with a live performer, using a predetermined score. In the second project, the technique is extended to handle polyphon...
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This paper proposes a novel scheme for audio communication in synchronous musical performances carried out over computer networks. The proposed scheme uses techniques inspired from computer accompaniment systems, in which a software agent follows the performance of a human musician in real-time, by synchronizing a pre-recorded musical accompaniment to the live performance. In networked settings...
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Modern music students practice improvisation playing on top of a software that generates accompaniment, but it does not listen to the musician’s input. Automatic accompaniment systems provide appropriate musical accompaniment to a human player in a given musical context by listening to them. We are interested in developing an AAS. Therefore, the purpose of this project is to build a system that...
متن کاملAlignment of Monophonic and Polyphonic Music to a Score
Music alignment is the association of events in a score with points in the time axis of an audio signal. The signal is thus segmented according to the events in the score. We propose a new methodology for automatic alignment based on dynamic time warping, where the spectral peak structure is used to compute the local distance, enhanced by a model of attacks and of silence. The methodology can c...
متن کاملImproving polyphonic and poly-instrumental music to score alignment
Music alignment links events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automatic alignment presented in this paper is based on a dynamic time warping method. Local distances are computed using the signal’s spectral features through an attack plus sustain note modeling. The method is applied to m...
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ژورنال
عنوان ژورنال: Communications of the ACM
سال: 2006
ISSN: 0001-0782,1557-7317
DOI: 10.1145/1145287.1145311