Alexander Shchetinsky's Symphony for Mixed Choir a'cappella “Know Yourself”: From Neo-Baroque to Metastyle

Mixed methods: open yourself to new opportunities.

The SYMPHONY Callable Library for Mixed Integer Programming

SYMPHONY is a customizable, open-source library for solving mixed-integer linear programs (MILP) by branch, cut, and price. With its large assortment of parameter settings, user callback functions, and compile-time options, SYMPHONY can be configured as a generic MILP solver or an engine for solving difficult MILPs by means of a fully customized algorithm. SYMPHONY can run on a variety of archi...

Understanding Personal Practical Knowledge; From what teachers must know to what teachers already know

The purpose of this study is understanding the Personal Practical Knowledge (PPK) of teachers which has been done through qualitative method. Understanding PPK helps us to understand why teachers act in a specific way. In this regards, reflecting on their personal and professional narratives also help to improve their practice. This study was conducted along with 13 teachers in a non-profit pri...

Personalisation How a computer can know you better than yourself

Every time you go to one of the top 100 book/music e-commerce sites, you will come into contact with personalisation systems that attempt to judge your interests to increase sales. There are 3 methods for making these personalised recommendations: Content-based filtering, Collaborative filtering and a hybrid of the two. Understanding each of these methods will give you insight as to how your pe...

Exploiting Frequency, Periodicity and Harmonicity Using Advanced Time-Frequency Concentration Techniques for Multipitch Estimation of Choir and Symphony

To advance research on automatic music transcription (AMT), it is important to have labeled datasets with sufficient diversity and complexity that support the creation and evaluation of robust algorithms to deal with issues seen in real-world polyphonic music signals. In this paper, we propose new datasets and investigate signal processing algorithms for multipitch estimation (MPE) in choral an...