Introduces the first large-scale Persian music dataset and shows fine-tuned MusicGen produces compositions more aligned with Persian stylistic conventions via tag-based evaluation.
Music for all: Representational bias and cross-cultural adaptability of music generation models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SD 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Mel-scale features exhibit measurable cultural bias with 12.5% higher WER on tonal languages and 15.7% F1 drop on non-Western music, while adaptive alternatives reduce these gaps substantially.
citing papers explorer
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Persian MusicGen: A Large-Scale Dataset and Culturally-Aware Generative Model for Persian Music
Introduces the first large-scale Persian music dataset and shows fine-tuned MusicGen produces compositions more aligned with Persian stylistic conventions via tag-based evaluation.
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Cross-Cultural Bias in Mel-Scale Representations: Evidence and Alternatives from Speech and Music
Mel-scale features exhibit measurable cultural bias with 12.5% higher WER on tonal languages and 15.7% F1 drop on non-Western music, while adaptive alternatives reduce these gaps substantially.