22 citations · 104 across the 29 of their papers we have counts for
7 papers · 1 filter
Melody-Conditioned Lyrics Generation with SeqGANs
Yihao Chen, Alexander Lerch
Automatic lyrics generation has received attention from both music and AI communities for years. Early rule-based approaches have~---due to increases in computational power and evo…
Remixing Music with Visual Conditioning
Li-Chia Yang, Alexander Lerch
We propose a visually conditioned music remixing system by incorporating deep visual and audio models. The method is based on a state of the art audio-visual source separation mode…
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…
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…
dMelodies: A Music Dataset for Disentanglement Learning
Ashis Pati, Siddharth Gururani, Alexander Lerch
Representation learning focused on disentangling the underlying factors of variation in given data has become an important area of research in machine learning. However, most of th…
Visual Attention for Musical Instrument Recognition
Karn Watcharasupat, Siddharth Gururani, Alexander Lerch
In the field of music information retrieval, the task of simultaneously identifying the presence or absence of multiple musical instruments in a polyphonic recording remains a hard…