With the proliferation of video platforms on the internet, recording mus...
The loudness war, an ongoing phenomenon in the music industry characteri...
In light of the enduring success of music streaming services, it is
note...
Music source separation (MSS) faces challenges due to the limited
availa...
Automatic speech recognition systems based on deep learning are mainly
t...
Musicians and audio engineers sculpt and transform their sounds by conne...
Separation of multiple singing voices into each voice is a rarely studie...
With the rapid development of the speech synthesis system, recent
text-t...
We propose an end-to-end music mixing style transfer system that convert...
The piano cover of pop music is widely enjoyed by people. However, the
g...
We present a neural network for rendering binaural speech from given mon...
We propose a system for rendering a symbolic piano performance with flex...
Nowadays, commercial music has extreme loudness and heavily compressed
d...
Advanced music recommendation systems are being introduced along with th...
This paper proposes a controllable singing voice synthesis system capabl...
Estimating Head-Related Transfer Functions (HRTFs) of arbitrary source p...
Mastering is an essential step in music production, but it is also a
cha...
We present a neural analysis and synthesis (NANSY) framework that can
ma...
In this study, we proposed a novel semi-supervised training method that ...
We propose differentiable artificial reverberation (DAR), a family of
ar...
Ensuring performance robustness for a variety of situations that can occ...
Reverb plays a critical role in music production, where it provides list...
Modern deep learning-based models have seen outstanding performance
impr...
Most of existing audio fingerprinting systems have limitations to be use...
Collecting and accessing a large amount of medical data is very
time-con...
In this paper, we propose a method of utilizing aligned lyrics as additi...
In this work, we tackle a denoising and dereverberation problem with a
s...
This work seeks the possibility of generating the human face from voice
...
In this study, we define the identity of the singer with two independent...
In recent years, music source separation has been one of the most intens...
In this paper, we propose an end-to-end Korean singing voice synthesis s...
Most deep learning-based models for speech enhancement have mainly focus...
In this paper, we propose a novel method that exploits music listening l...
This paper provides an outline of the algorithms submitted for the WSDM ...
Automatic choreography generation is a challenging task because it often...
Interpretation of retrieved results is an important issue in music
recom...
In this paper, we propose a simple yet effective method for multiple mus...
Spectral envelope is one of the most important features that characteriz...
Generating a chord progression from a monophonic melody is a challenging...
In this paper, we propose a new approach to cover song identification us...
Identifying musical instruments in polyphonic music recordings is a
chal...
Feature learning and deep learning have drawn great attention in recent ...