15 citations · 52 across the 21 of their papers we have counts for
6 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…
Towards a New Interface for Music Listening: A User Experience Study on YouTube
Ahyeon Choi, Eunsik Shin, Haesun Joung +2
In light of the enduring success of music streaming services, it is noteworthy that an increasing number of users are positively gravitating toward YouTube as their preferred platf…
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data
Junghyun Koo, Yunkee Chae, Chang-Bin Jeon +1
Music source separation (MSS) faces challenges due to the limited availability of correctly-labeled individual instrument tracks. With the push to acquire larger datasets to improv…
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test
Eungbeom Kim, Yunkee Chae, Jaeheon Sim +1
Automatic speech recognition systems based on deep learning are mainly trained under empirical risk minimization (ERM). Since ERM utilizes the averaged performance on the data samp…
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…