27 citations · 70 across the 22 of their papers we have counts for
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cs.SD2020
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
Most music source separation systems require large collections of isolated sources for training, which can be difficult to obtain. In this work, we use musical scores, which are co…
eess.AS2020★ 3 cited
Multitask learning for instrument activation aware music source separation
Yun-Ning Hung, Alexander Lerch
Music source separation is a core task in music information retrieval which has seen a dramatic improvement in the past years. Nevertheless, most of the existing systems focus excl…
eess.AS2020★ 5 cited
Score-informed Networks for Music Performance Assessment
Jiawen Huang, Yun-Ning Hung, Ashis Pati +2
The assessment of music performances in most cases takes into account the underlying musical score being performed. While there have been several automatic approaches for objective…