Baoueb, Ms Teysir (2022) Parameter optimisation for an AMT procedure via parsing with a monophonic dataset PRE - Research Project, ENSTA.
Automatic Music Transcription (AMT) is a problem in Music Information Retrieval (MIR), first explored in 1976. It consists of the conversion of a performance into sheet music using some form of music notation. The particular interest in this task stems from the fact that sheet music is considered to be the aptest form for the preservation of unnotated music in the cultural heritage and a vector of exchange of information within music communities in terms of analysis and interpretation. This has motivated research in this area in an attempt to solve the AMT problem by subdividing it into specific subtasks with regard to each process that needs to be applied. In this work, we consider one of these subtasks, and we focus on optimising the parameters used to transcribe performances in a symbolic format through parsing techniques. The method is tested on a monophonic dataset via Qparse, a tool developed by researchers at INRIA Paris and CNAM.
|Item Type:||Thesis (PRE - Research Project)|
|Uncontrolled Keywords:||Music Information Retrieval, Automatic Music Transcription, parsing, rhythmic complexity, weighted context-free grammar, non-convex optimisation, dynamic programming|
|Subjects:||Mathematics and Applications|
|Deposited By:||Teysir BAOUEB|
|Deposited On:||18 juill. 2023 11:15|
|Dernière modification:||18 juill. 2023 11:15|
Repository Staff Only: item control page