6 citations · 7 across the 17 of their papers we have counts for
5 papers · 1 filter
Continual Learning for Singing Voice Separation with Human in the Loop Adaptation
Ankur Gupta, Anshul Rai, Archit Bansal +1
Deep learning-based works for singing voice separation have performed exceptionally well in the recent past. However, most of these works do not focus on allowing users to interact…
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…
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…
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…
Dementia Detection using Multi-modal Methods on Audio Data
Saugat Kannojia, Anirudh Praveen, Danish Vasdev +5
Dementia is a neurodegenerative disease that causes gradual cognitive impairment, which is very common in the world and undergoes a lot of research every year to prevent and cure i…