LFU:online

Participants should acquire the following knowledge and skills:

+ Basic knowledge of (musical and physical) acoustics.

+ Detailed understanding of the nature of digital audio data

+ User skills in the computer programmes discussed

+ Ability to interpret analysis results and visualise them

The term "digital methods" includes in a broad sense all types of signal processing and analysis of audio data that are computer-assisted by software. This also includes the visualisation of audio data in various ways to gain insights that are not possible through mere listening. This also includes annotations and transcriptions. 

In the course of the course, only open source software is used to carry out various analyses of music and other audio data in the time and spectral domain. This mainly includes analyses of the musical material itself (harmony, melody, tempo, etc.) but also general descriptions of individual sounds (transient process, fundamental frequency and partials, tuning, timbre) and the listening environment (room acoustics).

Analyses are demonstrated practically using the respective software, which can (but does not have to) be done directly in the course if a laptop is available. The software is available for Windows, MacOs and Linux, all analyses can also be done independently at home.

Sound material for analysis is partly provided via OLAT and partly recorded in the course itself - no own equipment is required.

The course consists of practical parts in which basic knowledge about musical acoustics and digitisation is taught and practical parts in which the analysis methods are worked out together.

During the course, 5 analyses/analysis techniques will be developed, for four of which an independent analysis must be submitted.

Literature will be provided in OLAT

Prerequisites for participation are good general computer skills and access to a computer (Windows, MacOs or Linux) on which software and plugins can be installed.