1 citations · 3 across the 11 of their papers we have counts for
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Diptych: Scoped, AI-Interpreted Comparison for Reference Listening in Music Production
Chongjun Zhong, Abhinaba Roy, Archishman Ghosh +2
Reference listening is a common strategy in music production, but current comparison tools often obscure a key human judgment: deciding what should be compared. We present Diptych,…
DEFINE: Exemplar-Guided Accent Control for Zero-Shot TTS
Ambuj Mehrish, Abhinaba Roy, Alex Ivanov +2
Zero-shot text-to-speech (TTS) can reproduce an unseen speaker from a short reference recording, but typically entangles speaker identity and accent within the same reference. We i…
nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies
Abhinaba Roy, Junyi Liang, Dorien Herremans
nnAudio is an open-source audio feature extraction toolbox for deep learning, but its use in current environments is hindered by TorchScript incompatibilities, inverse-transform ed…
MERIT: Learning Disentangled Music Representations for Audio Similarity
Abhinaba Roy, Junyi Liang, Dorien Herremans
Current music similarity models typically compute a single, monolithic score, entangling distinct musical dimensions like melody, rhythm, and timbre. This limits user control and i…
KARMA-MV: A Benchmark for Causal Question Answering on Music Videos
Archishman Ghosh, Abhinaba Roy, Dorien Herremans
While significant progress has been made in Video Question Answering and cross-modal understanding, causal reasoning about how visual dynamics drive musical structure in music vide…
Text2Score: Generating Sheet Music From Textual Prompts
Keshav Bhandari, Sungkyun Chang, Abhinaba Roy +4
Developing text-driven symbolic music generation models remains challenging due to the scarcity of aligned text-music datasets and the unreliability of automated captioning pipelin…