BERT-APC is a reference-free automatic pitch correction system that uses a repurposed music language model to infer intended pitches from detuned vocals and applies note-level corrections while preserving expressive deviations.
Pianobart: Symbolic piano music generation and understanding with large-scale pre-training
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A zero-training VLM framework generates music from images via ABC notation, multi-modal RAG, and self-refinement while providing text and visual explanations for the outputs.
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BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference
BERT-APC is a reference-free automatic pitch correction system that uses a repurposed music language model to infer intended pitches from detuned vocals and applies note-level corrections while preserving expressive deviations.
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Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach
A zero-training VLM framework generates music from images via ABC notation, multi-modal RAG, and self-refinement while providing text and visual explanations for the outputs.