16 citations · 20 across the 3 of their papers we have counts for
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eess.AS2022
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music
Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim +2
Lack of large-scale note-level labeled data is the major obstacle to singing transcription from polyphonic music. We address the issue by using pseudo labels from vocal pitch estim…
eess.AS2020★ 16 cited
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum, Jing-Hua Lin, Li Su +1
The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised l…