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  2. Artificial Yodel Artificial Yodel

Artificial Yodel

This project aims to study artificial waveform audio synthesis and musical features decisive for human (re)cognition, using yodel as a case study.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

15.12.2019 - 31.12.2020

Overview

This project aims to study artificial waveform audio synthesis and musical features decisive for human (re)cognition, using yodel as a case study.
So far, autoregressive machine-learning models for music generation in the audio waveform were able to imitate timbre but failed to reproduce the general structure of human compositions. Music synthesis in sheet notation has obtained more organic results. Still, it is not well-suited to a majority of musical genres, such as yodel music, which are often unavailable in written form.
We plan to conduct a combined investigation of generative models and musical signatures in the case of natural yodel, using recent breakthroughs in both fields. We will apply some of the latest deep-learning technologies to audio synthesis, which are expected to provide a dramatic improvement in the generation of music structure and to suggest interesting connections for music analysis. Additionally, a new understanding of music qualities will be established by an effort to drive the artificial generation of samples, to discriminate it from human works, and to pinpoint the differences between machine classification and human cognition of music.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
Funding
  • ITC Digitale Transformation der Arbeitswelt
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Persons involved: internal

Project manager
  • Daniel Pfäffli
Member of project team
  • Andrin Bürli
  • Donnacha Daly
  • Fabian Gröger
  • Simone Lionetti
  • Marc Pouly
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Persons involved: external

External project manager
  • Yannick Wey

Publications

  • Presentation (conference/report/lectures) (1)

    • Wey, Yannick (21.07.2022). Deskilling, Deterritorialization, and Acceleration: Three Concepts for Digital Cosmopolitanism and AI in Musical Traditions. 46th ICTM World Conference, Lissabon.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

12/15/2019 - 12/31/2020

Project Head

Daniel Pfäffli

Highly Specialised Senior Research Associate

+41 41 757 68 28

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