13 citations · 17 across the 5 of their papers we have counts for
5 papers
Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
Kyungsu Kim, Minju Park, Haesun Joung +4
As digital music production has become mainstream, the selection of appropriate virtual instruments plays a crucial role in determining the quality of music. To search the musical…
Expressive Singing Synthesis Using Local Style Token and Dual-path Pitch Encoder
Juheon Lee, Hyeong-Seok Choi, Kyogu Lee
This paper proposes a controllable singing voice synthesis system capable of generating expressive singing voice with two novel methodologies. First, a local style token module, wh…
End-to-end Music Remastering System Using Self-supervised and Adversarial Training
Junghyun Koo, Seungryeol Paik, Kyogu Lee
Mastering is an essential step in music production, but it is also a challenging task that has to go through the hands of experienced audio engineers, where they adjust tone, space…
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi, Juheon Lee, Wansoo Kim +3
We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have focused on u…
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization
Donmoon Lee, Kyogu Lee
In this study, we proposed a novel semi-supervised training method that uses unlabeled data with a class distribution that is completely different from the target data or data with…