Search Results for author: Jinkyu Lee

Found 5 papers, 1 papers with code

Broadcasted Residual Learning for Efficient Keyword Spotting

1 code implementation8 Jun 2021 Byeonggeun Kim, Simyung Chang, Jinkyu Lee, Dooyong Sung

We present a broadcasted residual learning method to achieve high accuracy with small model size and computational load.

Keyword Spotting

Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames

no code implementations30 Apr 2021 Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun

Second, conventional monocular SLAM uses inappropriate mapping factors such as dynamic objects and low-parallax ares in mapping.

Autonomous Driving Semantic Segmentation +1

Query-by-example on-device keyword spotting

no code implementations11 Oct 2019 Byeonggeun Kim, Mingu Lee, Jinkyu Lee, Yeonseok Kim, Kyuwoong Hwang

A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream.

Keyword Spotting Speech Recognition

Orthogonality Constrained Multi-Head Attention For Keyword Spotting

no code implementations10 Oct 2019 Mingu Lee, Jinkyu Lee, Hye Jin Jang, Byeonggeun Kim, Wonil Chang, Kyuwoong Hwang

Augmenting regularization terms which penalize positional and contextual non-orthogonality between the attention heads encourages to output different representations from separate subsequences, which in turn enables leveraging structured information without explicit sequence models such as hidden Markov models.

Keyword Spotting

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