A thesis compilation presenting three complementary approaches to improving editing and control of pretrained text-to-music models, with Instruct-MusicGen demonstrating the strongest stem-level editing results.
Retrieval Augmented Generation of Symbolic Music with LLMs
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abstract
We explore the use of large language models (LLMs) for music generation using a retrieval system to select relevant examples. We find promising initial results for music generation in a dialogue with the user, especially considering the ease with which such a system can be implemented. The code is available online.
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2024 1verdicts
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Improving Controllability and Editability for Pretrained Text-to-Music Generation Models
A thesis compilation presenting three complementary approaches to improving editing and control of pretrained text-to-music models, with Instruct-MusicGen demonstrating the strongest stem-level editing results.