Furthermore, some familiarity with the basic concepts of statistics and machine learning is useful.
MELODY ASSISTANT TUTORIAL CODE
For the hands-on parts of the tutorial, we presuppose some practical experience with the Python language, but we will provide well-documented step-by-step access to the code in the form of Google Colab notebooks, which will be made publicly available after the tutorial.
Therefore, we target a broad audience of researchers without requiring prior knowledge of this particular area. The motivation behind this tutorial is to promote research on symbolic music processing in the MIR community.
MELODY ASSISTANT TUTORIAL HOW TO
The second, third, and fourth parts are hands-on tutorials that showcase the structure of the Partitura package (including its relation to other popular Python packages for symbolic music processing), how to extract common MIR features, and how to work with symbolic multimodal datasets, respectively. The tutorial will be structured in four parts: The first part provides an introduction to the topic of symbolic music processing.
To target different kinds of symbolic data, we use an extended version of the ASAP Dataset, a multi-modal dataset that contains MusicXML scores, MIDI performances, audio performances, and score-to-performance alignments. We do this with the aid of the Python package Partitura. This tutorial aims to provide an introduction to symbolic music processing for a broad MIR audience, with a particular focus on showing how to extract relevant MIR features from symbolic musical formats in a fast, intuitive, and scalable way. Such data can be used as both input/training data and as ground truth for MIR systems. Symbolic music formats (e.g., MIDI, MusicXML/MEI) can provide a variety of high-level musical information like note pitch and duration, key/time signature, beat/downbeat position, etc. T1(M): An Introduction to Symbolic Music Processing in Python with PartituraĬarlos Cancino-Chacón, Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter There will be three parallel tutorials each in the morning and the afternoon sessions, with a total of six tutorials. All the tutorials at ISMIR 2022 will take place on 04 December, 2022 in a hybrid format.
0 kommentar(er)
