Yoo Rhee Oh

According to our database, Yoo Rhee Oh authored at least 15 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications.

Yoo Rhee Oh, Kiyoung Park, Jeon Gyu Park

CoRR, 2021

On-Device Streaming Transformer-Based End-to-End Speech Recognition.

Yoo Rhee Oh, Kiyoung Park

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2017

Deep-Learning Based Automatic Spontaneous Speech Assessment in a Data-Driven Approach for the 2017 SLaTE CALL Shared Challenge.

Yoo Rhee Oh, Hyung-Bae Jeon, Hwa Jeon Song, Byung Ok Kang, Yun-Kyung Lee, Jeon-Gue Park, Yun-Keun Lee

Proceedings of the 7th ISCA International Workshop on Speech and Language Technology in Education, 2017

Phonetic state relation graph regularized deep neural network for robust acoustic model.

Hoon Chung, Yoo Rhee Oh, Sung Joo Lee, Jeon Gue Park

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017.

Yoo Rhee Oh, Hyung-Bae Jeon, Hwa Jeon Song, Yun-Kyung Lee, Jeon-Gue Park, Yun-Keun Lee

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2015

GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding.

Oh-Woog Kwon, Ki-Young Lee, Yoon-Hyung Roh, Jin-Xia Huang, Sung-Kwon Choi, Young Kil Kim, Hyung-Bae Jeon, Yoo Rhee Oh, Yun-Kyung Lee, Byung Ok Kang, Euisok Chung, Jeon Gue Park, Yunkeun Lee

Proceedings of the Natural Language Dialog Systems and Intelligent Assistants, 2015

2012

Frame-Level Selective Decoding Using Native and Non-native Acoustic Models for Robust Speech Recognition to Native and Non-native Speech.

Yoo Rhee Oh, Hoon Chung, Jeom-ja Kang, Yun Keun Lee

Proceedings of the Natural Interaction with Robots, 2012

2011

Phonetically Balanced Text Corpus Design Using a Similarity Measure for a Stereo Super-Wideband Speech Database.

Yoo Rhee Oh, Yong Guk Kim, Mina Kim, Hong Kook Kim, Mi Suk Lee, Hyun Joo Bae

IEICE Trans. Inf. Syst., 2011

2010

A Hybrid Acoustic and Pronunciation Model Adaptation Approach for Non-native Speech Recognition.

Yoo Rhee Oh, Hong Kook Kim

IEICE Trans. Inf. Syst., 2010

On the use of feature-space MLLR adaptation for non-native speech recognition.

Yoo Rhee Oh, Hong Kook Kim

Proceedings of the IEEE International Conference on Acoustics, 2010

Duration Model-Based Post-processing for the Performance Improvement of a Keyword Spotting System.

Min Ji Lee, Jae Sam Yoon, Yoo Rhee Oh, Hong Kook Kim, Song-Ha Choi, Ji Woon Kim, Myeong Bo Kim

Proceedings of the Communication and Networking, 2010

2009

MLLR/MAP adaptation using pronunciation variation for non-native speech recognition.

Yoo Rhee Oh, Hong Kook Kim

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008

Acoustic and pronunciation model adaptation for context-independent and context-dependent pronunciation variability of non-native speech.

Yoo Rhee Oh, Mina Kim, Hong Kook Kim

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Acoustic model adaptation based on pronunciation variability analysis for non-native speech recognition.

Yoo Rhee Oh, Jae Sam Yoon, Hong Kook Kim

Speech Commun., 2007

Non-native pronunciation variation modeling using an indirect data driven method.

Mina Kim, Yoo Rhee Oh, Hong Kook Kim

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007