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Yoori Oh

AI Research Scientist
  • yoori0203@snu.ac.kr

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

Apr 2017 - Aug 2020
Korea Institute of Patent Information

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.

Publications

International Conferences

(* indicates equal contribution)

  • Hear Your Face: Face-based voice conversion with F0 estimation [link]

    • Jaejun Lee, Yoori Oh, Injune Hwang and Kyogu Lee
    INTERSPEECH, 2024

  • Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation [link]

    • Yoori Oh*, Yoseob Han* and Kyogu Lee
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024

  • Semi-supervised Learning for Continuous Emotional Intensity Controllable Speech Synthesis with Disentangled Representations [link]

    • Yoori Oh, Juheon Lee, Yoseob Han and Kyogu Lee
    INTERSPEECH, 2023

  • Exploring Train and Test-Time Augmentations for Audio-Language Learning [link]

    • Eungbeom Kim, Jinhee Kim, Yoori Oh, Kyungsu Kim, Minju Park, Jaeheon Sim, Jinwoo Lee and Kyogu Lee
    arxiv, 2022

  • A Hybrid Cloud Resource Clustering Method Using Analysis of Application Characteristics [link]

    • Yoori Oh and Yoonhee Kim
    IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2017

  • A SLA-based Spark Cluster Scaling Method in Cloud Environment [link]

    • 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

Domestic Conferences

  • Hybrid Approach Combining Deep Learning and Rule-Based Model for Automatic IPC Classification of Patent Documents [link]

    • Yongil Kim, Yoori Oh, Woochul Sim, Bongsoo Ko and Bonggun Lee
    KIISE, HCLT 2019

  • Core Syntax Extraction Method considering Characteristics of Claims for Building Patent Knowledge Base [link]

    • Jaeok Min, Yoori Oh, Bonggun Lee and Yoonho Jung
    KIISE, KSC 2018

  • A Comparative Analysis for the Extraction of Similar Patent Claims based on Word Embedding [link]

    • Yoori Oh, Jaeok Min, Yongil Kim, Daejung Kim, Yongkyun Park and Bonggun Lee
    KIISE, KSC 2017

  • A Design of Software-Defined Computing Platform for Scientific Experiments over Hybrid Resources [link]

    • Julim Ahn, Jieun Choi, Yoori Oh, Seoyoung Kim and Yoonhee Kim
    KIISE, KCC 2017

  • An Adaptive Data Placement Strategy for Data-Intensive Scientific Applications [link]

    • Heewon Kim, Yoori Oh, Jieun Choi, Seoyoung Kim and Yoonhee Kim,
    KIISE, KCC 2017

  • A Cloud Resource Classification Method using Analysis of Application Characteristic Clustering [link]

    • Yoori Oh and Yoonhee Kim
    KIISE, KSC 2016

  • Autoscaling Method based on SLA of Spark Clusters

    • Yoori Oh, Jieun Choi and Yoonhee Kim
    KNOM 2016

  • A Design of Personal Chronic Disease Feedback System Using Analysis of Diet [link]

    • Youngran Jeon, Yoori Oh, Jieun Choi, Jieun Lee and Yoonhee Kim
    KIISE, KSC 2016

  • A Design of Personalized Daily Nutrition Feedback System for Cultivating Healthy Eating Habit

    • Yoori Oh, Jieun Choi, Youngran Jeon and Yoonhee Kim
    KIPS 2015

  • A Design of Verification System on TV Recommended Contents Using SNS Review Data Mining

    • Moonji Kim, Hyungji Kim, Jiyeon Lee, Sumin Kim, Yoori Oh and Yoonhee Kim
    KSII 2015

  • A Design of a Personalized Dietary Coaching System Using Voice Recognition

    • Yoori Oh, Younsun Ahn and Yoonhee Kim
    KIPS 2015

Domestic Journals

  • A Resource Clustering Method Considering Weight of Application Characteristic in Hybrid Cloud Environment [link]

    • Yoori Oh and Yoonhee Kim
    KIISE Transactions on Computing Practices, Vol. 23, No. 8, pp. 481-486, 2017. 8

  • A Customized Healthy Menu Recommendation Method Using Content-Based and Food Substitution Table [link]

    • Yoori Oh and Yoonhee Kim
    KIPS Transactions on Software and Data Engineering, Vol.6, No.3 pp.161~166 pISSN: 2287-5905, 2017. 3

  • A Personalized Dietary Coaching Method Using Food Clustering Analysis [link]

    • Yoori Oh, Jieun Choi and Yoonhee Kim
    KIPS Transactions on Software and Data Engineering, Vol.5, No.6 pp.289~294 pISSN: 2287-5905, 2016. 6

Patents

  • METHOD AND APPARATTUS FOR AUGMENTING AUDIO-TEXT MULTIMODAL DATA IN TRAIN AND TEST TIME

    • 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

  • METHOD AND APPARATTUS FOR AUGMENTING AUDIO-TEXT MULTIMODAL DATA IN TRAIN AND TEST TIME

    • 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

  • METHOD AND APPARATUS FOR STRUCTURING PATENT CLAIMS

    • 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

  • MOBILE TERMINAL CONTROL METHOD FOR PERSONALIZED DIETARY COACHING

    • Yoonhee Kim, Jieun Choi, Yoori Oh and Youngran Jeon
    KR, registration number : 10-2016263, 2019. 8

Education

  • Ph.D. in Intelligence and Information
    Seoul National University
    Advisor : Kyogu Lee
    Sep. 2020 - Present
  • M.S. in Computer Science
    Sookmyung Women's University
    Advisor : Yoonhee Kim
    Mar. 2015 - Feb. 2017
  • B.S. in Mathematics and Computer Science
    Sookmyung Women's University
    Mar. 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)