13 citations · 26 across the 11 of their papers we have counts for
7 papers · 1 filter
Exploiting Time-Frequency Conformers for Music Audio Enhancement
Yunkee Chae, Junghyun Koo, Sungho Lee +1
With the proliferation of video platforms on the internet, recording musical performances by mobile devices has become commonplace. However, these recordings often suffer from degr…
Music De-limiter Networks via Sample-wise Gain Inversion
Chang-Bin Jeon, Kyogu Lee
The loudness war, an ongoing phenomenon in the music industry characterized by the increasing final loudness of music while reducing its dynamic range, has been a controversial top…
Blind Estimation of Audio Processing Graph
Sungho Lee, Jaehyun Park, Seungryeol Paik +1
Musicians and audio engineers sculpt and transform their sounds by connecting multiple processors, forming an audio processing graph. However, most deep-learning methods overlook t…
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…
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…