2 papers
cs.SD2026
Ghost in the Encoder: Decodable Artist Identity Representations in Lyrics-to-Song Generation
Arhan Vohra, Choenden Kyirong, Laura Ibáñez-Martínez +1
Text-to-song generation models can be prompted to imitate specific artists or regurgitate entire songs from their training data. Although these phenomena have been documented behav…
cs.SD2026
Interpretable and Perceptually-Aligned Music Similarity with Pretrained Embeddings
Arhan Vohra, Taketo Akama
Perceptual similarity representations enable music retrieval systems to determine which songs sound most similar to listeners. State-of-the-art approaches based on task-specific tr…