MClem
@mclemcrew.bsky.social
Check out the paper: arxiv.org/abs/2507.06329
And the website: mclemcrew.github.io/mixassist-we...
S/O to @anamarasovic.bsky.social for all the leadership, support, and expertise they put into this work! We are so happy with how it turned out and hope it helps the community of music producers!
And the website: mclemcrew.github.io/mixassist-we...
S/O to @anamarasovic.bsky.social for all the leadership, support, and expertise they put into this work! We are so happy with how it turned out and hope it helps the community of music producers!
MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing
While AI presents significant potential for enhancing music mixing and mastering workflows, current research predominantly emphasizes end-to-end automation or generation, often overlooking the collabo...
arxiv.org
July 10, 2025 at 2:32 PM
Check out the paper: arxiv.org/abs/2507.06329
And the website: mclemcrew.github.io/mixassist-we...
S/O to @anamarasovic.bsky.social for all the leadership, support, and expertise they put into this work! We are so happy with how it turned out and hope it helps the community of music producers!
And the website: mclemcrew.github.io/mixassist-we...
S/O to @anamarasovic.bsky.social for all the leadership, support, and expertise they put into this work! We are so happy with how it turned out and hope it helps the community of music producers!
The MixAssist Dataset consists of 431 audio-grounded conversational turns from 7 in-depth sessions, designed to train AI assistants that can provide instructional, context-aware guidance on music production pedagogy.
Check out the full dataset here: huggingface.co/datasets/mcl...
Check out the full dataset here: huggingface.co/datasets/mcl...
mclemcrew/MixAssist · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
July 10, 2025 at 2:32 PM
The MixAssist Dataset consists of 431 audio-grounded conversational turns from 7 in-depth sessions, designed to train AI assistants that can provide instructional, context-aware guidance on music production pedagogy.
Check out the full dataset here: huggingface.co/datasets/mcl...
Check out the full dataset here: huggingface.co/datasets/mcl...
While AI is recontextualizing music production, many tools focus on automation, leaving a gap for artists who want to learn. To address this, we developed MixAssist, a novel dataset capturing the dialogue between expert and amateur producers during collaborative mixing sessions.
July 10, 2025 at 2:32 PM
While AI is recontextualizing music production, many tools focus on automation, leaving a gap for artists who want to learn. To address this, we developed MixAssist, a novel dataset capturing the dialogue between expert and amateur producers during collaborative mixing sessions.