Search Results for author: Sungkyun Chang

Found 5 papers, 2 papers with code

Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data

no code implementations22 Dec 2022 Hye-min Chang, Sungkyun Chang

Class-imbalanced datasets are known to cause the problem of model being biased towards the majority classes.

Clustering Self-Supervised Learning

Sequential Skip Prediction with Few-shot in Streamed Music Contents

1 code implementation24 Jan 2019 Sungkyun Chang, Seungjin Lee, Kyogu Lee

This paper provides an outline of the algorithms submitted for the WSDM Cup 2019 Spotify Sequential Skip Prediction Challenge (team name: mimbres).

Few-Shot Learning Metric Learning +1

Audio Cover Song Identification using Convolutional Neural Network

no code implementations1 Dec 2017 Sungkyun Chang, Juheon Lee, Sang Keun Choe, Kyogu Lee

To do this, we first build the CNN using as an input a cross-similarity matrix generated from a pair of songs.

Cover song identification Relation

Lyrics-to-Audio Alignment by Unsupervised Discovery of Repetitive Patterns in Vowel Acoustics

no code implementations21 Jan 2017 Sungkyun Chang, Kyogu Lee

Most of the previous approaches to lyrics-to-audio alignment used a pre-developed automatic speech recognition (ASR) system that innately suffered from several difficulties to adapt the speech model to individual singers.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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