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20162026
most citedAudio Cover Song Identification using Convolutional Neural Network

15 citations · 48 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

Synthesis and editing of multi-instrument audio mixtures using scalar-quantised latents with MIDI Span conditioning

Sungkyun Chang, Keshav Bhandari, Simon Dixon +1

Music creation often involves iterative refinement, changing selected musical details while retaining the rest. To support such refinement, we introduce SpanSynth-Edit, a flow-matc…

cs.SD2026

Finetuning Strategies for Querying Sounds by Vocal Imitation

Aditya Bhattacharjee, Christos Plachouras, Sungkyun Chang +1

This technical report describes our winning submission to the AES AIMLA 2025 Challenge on querying sound effects by vocal imitation. We investigate two complementary fine-tuning st…

cs.SD2026

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…

cs.SD2026

Advancing Multi-Instrument Music Transcription: Results from the 2025 AMT Challenge

Ojas Chaturvedi, Kayshav Bhardwaj, Tanay Gondil +5

This paper presents the results of the 2025 Automatic Music Transcription (AMT) Challenge, an online competition to benchmark progress in multi-instrument transcription. Eight team…

cs.SD2026

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Yinghao Ma, Haiwen Xia, Hewei Gao +9

While music generation models have evolved to handle complex multimodal inputs mixing text, lyrics, and reference audio, evaluation mechanisms have lagged behind. In this paper, we…