Bridging the gap between close listening and large-scale musical data
Explore the intersection of computational analysis and musical intuition. This session from MIT's Computational Music Theory and Analysis course examines how statistical corpus studies can complement traditional, detailed listening techniques.
This lecture, part of the Spring 2023 MIT 21M.383 course, delves into the tension between 'close' and 'distant' listening. It provides guidance on analyzing the works of Bach and Haydn through a computational lens, specifically addressing queries related to Problem Set 4.
Beyond structural analysis, the session covers the practicalities of upcoming assignments and introduces additional tools from the music21 library, helping students navigate the complexities of large-scale musical datasets.
Source: Class 14 Video: Corpus Studies and Statistics (II)
