Search Results for author: Keunwoo Choi

Found 17 papers, 11 papers with code

Listen, Read, and Identify: Multimodal Singing Language Identification of Music

no code implementations2 Mar 2021 Keunwoo Choi, Yuxuan Wang

Optionally, LRID-Net is facilitated with modality dropouts to handle a missing modality.

Language Identification

Large-Scale MIDI-based Composer Classification

no code implementations28 Oct 2020 Qiuqiang Kong, Keunwoo Choi, Yuxuan Wang

Music classification is a task to classify a music piece into labels such as genres or composers.

Classification General Classification +1

Dereverberation using joint estimation of dry speech signal and acoustic system

no code implementations24 Jul 2020 Sanna Wager, Keunwoo Choi, Simon Durand

The purpose of speech dereverberation is to remove quality-degrading effects of a time-invariant impulse response filter from the signal.

Speech Dereverberation

Deep Unsupervised Drum Transcription

2 code implementations9 Jun 2019 Keunwoo Choi, Kyunghyun Cho

We introduce DrummerNet, a drum transcription system that is trained in an unsupervised manner.

Sound Audio and Speech Processing

Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook

4 code implementations4 Jun 2018 Kyungyun Lee, Keunwoo Choi, Juhan Nam

Since the vocal component plays a crucial role in popular music, singing voice detection has been an active research topic in music information retrieval.

Information Retrieval Music Information Retrieval

A Tutorial on Deep Learning for Music Information Retrieval

2 code implementations13 Sep 2017 Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark Sandler

Following their success in Computer Vision and other areas, deep learning techniques have recently become widely adopted in Music Information Retrieval (MIR) research.

Information Retrieval Music Information Retrieval

A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging

1 code implementation6 Sep 2017 Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark Sandler

In this paper, we empirically investigate the effect of audio preprocessing on music tagging with deep neural networks.

Music Tagging

Transfer learning for music classification and regression tasks

3 code implementations27 Mar 2017 Keunwoo Choi, György Fazekas, Mark Sandler, Kyunghyun Cho

In this paper, we present a transfer learning approach for music classification and regression tasks.

Classification General Classification +3

Towards Music Captioning: Generating Music Playlist Descriptions

no code implementations17 Aug 2016 Keunwoo Choi, George Fazekas, Brian McFee, Kyunghyun Cho, Mark Sandler

Descriptions are often provided along with recommendations to help users' discovery.

Explaining Deep Convolutional Neural Networks on Music Classification

1 code implementation8 Jul 2016 Keunwoo Choi, George Fazekas, Mark Sandler

Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e. g. genre classification, mood detection, and chord recognition.

Chord Recognition Classification +5

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions

no code implementations7 Jun 2016 Keunwoo Choi, George Fazekas, Mark Sandler

We introduce a novel playlist generation algorithm that focuses on the quality of transitions using a recurrent neural network (RNN).

Automatic tagging using deep convolutional neural networks

8 code implementations1 Jun 2016 Keunwoo Choi, George Fazekas, Mark Sandler

We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs).

Music Tagging

Text-based LSTM networks for Automatic Music Composition

3 code implementations18 Apr 2016 Keunwoo Choi, George Fazekas, Mark Sandler

In this paper, we introduce new methods and discuss results of text-based LSTM (Long Short-Term Memory) networks for automatic music composition.

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