Search Results for author: Taejun Kim

Found 5 papers, 4 papers with code

A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment

1 code implementation24 Aug 2020 Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam

A DJ mix is a sequence of music tracks concatenated seamlessly, typically rendered for audiences in a live setting by a DJ on stage.

Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition

1 code implementation30 Oct 2019 Taejun Kim, Juhan Nam

End-to-end learning models using raw waveforms as input have shown superior performances in many audio recognition tasks.

Keyword Spotting

Raw Waveform-based Audio Classification Using Sample-level CNN Architectures

no code implementations4 Dec 2017 Jongpil Lee, Taejun Kim, Jiyoung Park, Juhan Nam

Music, speech, and acoustic scene sound are often handled separately in the audio domain because of their different signal characteristics.

Audio Classification General Classification +1

Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms

2 code implementations28 Oct 2017 Taejun Kim, Jongpil Lee, Juhan Nam

Recent work has shown that the end-to-end approach using convolutional neural network (CNN) is effective in various types of machine learning tasks.

General Classification Music Auto-Tagging

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