Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative
  Editing
Creating music is iterative, requiring varied methods at each stage. However,
existing AI music systems fall short in orchestrating multiple subsystems for
diverse needs. To address this gap, we introduce Loop Copilot, a novel system
that enables users to generate and iteratively refine music through an
interactive, multi-round dialogue interface. The system uses a large language
model to interpret user intentions and select appropriate AI models for task
execution. Each backend model is specialized for a specific task, and their
outputs are aggregated to meet the user's requirements. To ensure musical
coherence, essential attributes are maintained in a centralized table. We
evaluate the effectiveness of the proposed system through semi-structured
interviews and questionnaires, highlighting its utility not only in
facilitating music creation but also its potential for broader applications.
6531df22a1162a3f8799de8f
Yixiao Zhang
admin_assigned
2023-10-20T08:09:23.365Z
6376a5aad49217e154f580aa
https://cdn-avatars.huggingface.co/v1/production/uploads/1668720030380-noauth.jpeg
Yixiao ZHang
user
ldzhangyx
6531df22a1162a3f8799de90
Akira Maezawa
6531df22a1162a3f8799de91
Gus Xia
6531df22a1162a3f8799de92
Kazuhiko Yamamoto
admin_assigned
2023-10-20T08:09:41.324Z
630470b59aef62c4013b7b78
/avatars/7c326ed8c71e8ab1baff99892755c888.svg
Kazuhiko Yamamoto
user
yamotulp
6531df22a1162a3f8799de93
Simon Dixon
admin_assigned
2023-10-20T08:09:48.113Z
643ac28aff50448bcfc24b19
/avatars/18d201b94829bae9985dbb4ec618e1ff.svg
Simon Dixon
user
Dexdixon
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative
  Editing
Creating music is iterative, requiring varied methods at each stage. However,
existing AI music systems fall short in orchestrating multiple subsystems for
diverse needs. To address this gap, we introduce Loop Copilot, a novel system
that enables users to generate and iteratively refine music through an
interactive, multi-round dialogue interface. The system uses a large language
model to interpret user intentions and select appropriate AI models for task
execution. Each backend model is specialized for a specific task, and their
outputs are aggregated to meet the user's requirements. To ensure musical
coherence, essential attributes are maintained in a centralized table. We
evaluate the effectiveness of the proposed system through semi-structured
interviews and questionnaires, highlighting its utility not only in
facilitating music creation but also its potential for broader applications.
Loop Copilot, a multi-round dialogue system using a large language model, facilitates music creation by iteratively refining and selecting specialized AI models for task execution while maintaining musical coherence.
large language model AI models task execution musical coherence