Researcher
- Developing an IPC classifier based on deep learning and TF-IDF.
- Developing an extraction method of similar patent claims based on word embedding.
- Developing a core syntax extraction method considering characteristics of claims.
Yoori Oh
AI Research Scientist
- yoori0203@gmail.com
About Me
I'm a Ph.D candidate at Music and Audio Research Group
of Seoul National University, advised by
Prof. Kyogu Lee.
My research interest is in finding relationships between different modalities. In particular, I am interested in audio-language retrieval and speech synthesis.
Here is Curriculum Vitae for more information about me.
Work Experiences
Publications
International Conferences
(* indicates equal contribution)
- Speaking Without Sound: Multi-speaker Silent Speech Voicing with Facial Inputs Only
- Hear Your Face: Face-based voice conversion with F0 estimation [link]
- Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation [link]
- Semi-supervised Learning for Continuous Emotional Intensity Controllable Speech Synthesis with Disentangled Representations [link]
- Exploring Train and Test-Time Augmentations for Audio-Language Learning [link]
- A Hybrid Cloud Resource Clustering Method Using Analysis of Application Characteristics [link]
- A SLA-based Spark Cluster Scaling Method in Cloud Environment [link]
Jaejun Lee, Yoori Oh and Kyogu Lee
ICASSP, 2025
Jaejun Lee, Yoori Oh, Injune Hwang and Kyogu Lee
INTERSPEECH, 2024
Yoori Oh*, Yoseob Han* and Kyogu Lee
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Yoori Oh, Juheon Lee, Yoseob Han and Kyogu Lee
INTERSPEECH, 2023
Eungbeom Kim, Jinhee Kim, Yoori Oh, Kyungsu Kim, Minju Park, Jaeheon Sim, Jinwoo Lee and Kyogu Lee
arxiv, 2022
Yoori Oh and Yoonhee Kim
IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2017
Yoori Oh, Jieun Choi, Eunjung Song, Moonji Kim and Yoonhee Kim
18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2016
International Journals
- A Resource Recommendation Method based on Dynamic Cluster Analysis of Application Characteristics [link]
Yoori Oh and Yoonhee Kim
Cluster Computing, 2019
Patents
- METHOD AND APPARATTUS FOR AUGMENTING AUDIO-TEXT MULTIMODAL DATA IN TRAIN AND TEST TIME
- METHOD AND APPARATTUS FOR AUGMENTING AUDIO-TEXT MULTIMODAL DATA IN TRAIN AND TEST TIME
- METHOD AND APPARATUS FOR STRUCTURING PATENT CLAIMS
- MOBILE TERMINAL CONTROL METHOD FOR PERSONALIZED DIETARY COACHING
Kyogu Lee, Jinhee Kim, Eungbeom Kim, Yoori Oh, Jaeheon Sim, Jinwoo Lee, Kyungsu Kim and Minju Park
PCT, application number : PCT/KR2023/017075, 2023. 10
Kyogu Lee, Jinhee Kim, Eungbeom Kim, Yoori Oh, Jaeheon Sim, Jinwoo Lee, Kyungsu Kim and Minju Park
KR, application number : 10-2023-0146812, 2023. 10
Youngmin Ahn, Hojin Park, Suhyun Oh, Jonghyun Chae, Bong-Gun Lee, Yoonho Jung, Jaeok Min and Yoori Oh
KR, registration number : 10-2181677, 2020. 11
Yoonhee Kim, Jieun Choi, Yoori Oh and Youngran Jeon
KR, registration number : 10-2016263, 2019. 8
Education
-
Ph.D. in Intelligence and InformationSeoul National UniversityAdvisor : Kyogu LeeSep. 2020 - Aug. 2025 (expected)
-
M.S. in Computer ScienceSookmyung Women's UniversityAdvisor : Yoonhee KimMar. 2015 - Feb. 2017
-
B.S. in Mathematics and Computer ScienceSookmyung Women's UniversityMar. 2010 - Feb. 2015
Research Interests
- Multi-modal
- Audio-Language
- Speech Synthesis
- Machine Learning
- Deep Learning
Honors
- Teaching assistance scholarship, Seoul National University (2024)
- Brain Korea 21 Plus scholarship (2020 - 2023)
Awards
- Bronze Award, 12th open source software(OSS) developer competition (2018. 11)
- Best Presentation Award, KIISE, KSC 2016 (2017. 1)
- Bronze Best Paper Award, IEEE Student Paper Contest (2016. 12)
- Grand Prize, 2015 Sungkyunkwan University Convergence App Contest (2015. 12)
- Best Paper Award, KSII 2015 (2015. 10)
Teachings
- TA, M3294(M3309), From Sound to Meaning, Seoul National University (Spring 2024)