activity
20232026
most citedAdoption of AI Technology in the Music Mixing Workflow: An Investigation

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Beyond fabrication: Misattributed numbers in papers written by AI research agents

Mosab Alfaqeeh, Omar Hourani, Omar Mohammed Horani +3

Verifying numerical claims in research written by AI agents is an important but challenging problem. Recent benchmarks show that many agent-written papers fail integrity checks, bu…

eess.AS2024

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…

eess.AS2024★ 1 cited

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…

cs.HC2023

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…

cs.HC2023★ 6 cited

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…