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eess.AS2025
Improving Active Learning for Melody Estimation by Disentangling Uncertainties
Aayush Jaiswal, Parampreet Singh, Vipul Arora
Estimating the fundamental frequency, or melody, is a core task in Music Information Retrieval (MIR). Various studies have explored signal processing, machine learning, and deep-le…
eess.AS2025
Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
Sumit Kumar, Parampreet Singh, Vipul Arora
Ornamentations, embellishments, or microtonal inflections are essential to melodic expression across many musical traditions, adding depth, nuance, and emotional impact to performa…
eess.AS2025
Meta-learning-based percussion transcription and identification from low-resource audio
Rahul Bapusaheb Kodag, Vipul Arora
This study introduces a meta-learning-based approach for low-resource Tabla Stroke Transcription (TST) and identification in Hindustani classical music. Using Model-Ag…