6 citations · 9 across the 6 of their papers we have counts for
6 papers
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
Renaud Bougueng Tchemeube, Jeff Ens, Cale Plut +4
With the rise of artificial intelligence (AI), there has been increasing interest in human-AI co-creation in a variety of artistic domains including music as AI-driven systems are…
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
Philippe Pasquier, Jeff Ens, Nathan Fradet +4
We present and release MIDI-GPT, a generative system based on the Transformer architecture that is designed for computer-assisted music composition workflows. MIDI-GPT supports the…
Diff-MSTC: A Mixing Style Transfer Prototype for Cubase
Soumya Sai Vanka, Lennart Hannink, Jean-Baptiste Rolland +1
In our demo, participants are invited to explore the Diff-MSTC prototype, which integrates the Diff-MST model into Steinberg's digital audio workstation (DAW), Cubase. Diff-MST, a…
Diff-MST: Differentiable Mixing Style Transfer
Soumya Sai Vanka, Christian Steinmetz, Jean-Baptiste Rolland +2
Mixing style transfer automates the generation of a multitrack mix for a given set of tracks by inferring production attributes from a reference song. However, existing systems for…
The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers
Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland +1
Effective music mixing requires technical and creative finesse, but clear communication with the client is crucial. The mixing engineer must grasp the client's expectations, and pr…
Adoption of AI Technology in the Music Mixing Workflow: An Investigation
Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland +1
The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study…