most citedSpecTNT: a Time-Frequency Transformer for Music Audio

14 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2022★ 1 cited

ALCAP: Alignment-Augmented Music Captioner

Zihao He, Weituo Hao, Wei-Tsung Lu +3

Music captioning has gained significant attention in the wake of the rising prominence of streaming media platforms. Traditional approaches often prioritize either the audio or lyr…

cs.CL2022★ 1 cited

DynaMaR: Dynamic Prompt with Mask Token Representation

Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam +4

Recent research has shown that large language models pretrained using unsupervised approaches can achieve significant performance improvement on many downstream tasks. Typically wh…

cs.SD2021

Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience

Wei-Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu +1

The subjective evaluation of music generation techniques has been mostly done with questionnaire-based listening tests while ignoring the perspectives from music composition, arran…

cs.SD2021★ 14 cited

SpecTNT: a Time-Frequency Transformer for Music Audio

Wei-Tsung Lu, Ju-Chiang Wang, Minz Won +2

Transformers have drawn attention in the MIR field for their remarkable performance shown in natural language processing and computer vision. However, prior works in the audio proc…

eess.AS2021★ 3 cited

Supervised Metric Learning for Music Structure Features

Ju-Chiang Wang, Jordan B. L. Smith, Wei-Tsung Lu +1

Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand-crafte…