10 citations · 30 across the 18 of their papers we have counts for
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eess.AS2022
Feature-informed Embedding Space Regularization For Audio Classification
Yun-Ning Hung, Alexander Lerch
Feature representations derived from models pre-trained on large-scale datasets have shown their generalizability on a variety of audio analysis tasks. Despite this generalizabilit…
eess.AS2022★ 1 cited
To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions
Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith
Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However, explicitly identifyin…
eess.AS2022
Feature-informed Latent Space Regularization for Music Source Separation
Yun-Ning Hung, Alexander Lerch
The integration of additional side information to improve music source separation has been investigated numerous times, e.g., by adding features to the input or by adding learning…