Suyoun Kim

Ph.D Student
Carnegie Mellon University
Electrical and Computer Engineering

Contact
Email: suyoun@cmu.edu

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I am a Ph.D student in Electrical and Computer Engineering at Carnegie Mellon University, working with Professors Richard M. Stern, and Ian Lane. With my research backgrounds in Speech Recognition, Machine Learning, and Deep Learning, most of my research has been concerned with robust speech recognition and related technologies. I received M.S. in Language Techonologies Institute , School of Computer Science at Carnegie Mellon University.


News


Research Interests

    Speech Recognition, Deep Learning, Machine Learning

Paper

  • End-to-End Speech Recognition with Auditory Attention for Multi-Microphone Distance Speech Recognition
    Suyoun Kim, Ian Lane,
    in INTERSPEECH, 2017
    [paper]
  • Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning
    Suyoun Kim, Takaaki Hori, Shinji Watanabe,
    in ICASSP, 2017 [selected to give the oral presentation]
    [paper]
  • Multi-Channel Speech Recognition: LSTMs All the Way Through
    Hakan Erdogan, Tomoki Hayashi, John R. Hershey, Takaaki Hori, Chiori Hori, Wei-Ning Hsu, Suyoun Kim, Jonathan Le Roux, Zhong Meng, and Shinji Watanabe
    in CHiME Workshop, 2016
    [paper]
  • Recurrent Models for Auditory Attention in Multi-Microphone Distant Speech Recognition
    Suyoun Kim, Ian Lane,
    in INTERSPEECH, 2016
    [paper]
  • Environmental Noise Embeddings for Robust Speech Recognition
    Suyoun Kim, Bhiksha Raj, Ian Lane,
    in arXiv, 2016
    [paper]
  • Recurrent Models for Auditory Attention in Multi-Microphone Distant Speech Recognition (earlier version)
    Suyoun Kim, Ian Lane,
    in ICLR workshop, 2016
    [paper]
  • Multimodal Transfer Deep Learning with an Application in Audio-Visual Recognition
    Seungwhan Moon, Suyoun Kim, Haohan Wang,
    in NIPS workshop, 2015
    [paper]
  • Impact of nano-scale through-silicon vias on the quality of today and future 3D IC designs
    Dae Hyun Kim, Suyoun Kim, Sung Kyu Lim,
    Proceedings of the System Level Interconnect Prediction Workshop. IEEE Press, 2011
    [paper]

Patent

  • Attention-based Neural Networks for Multi-Microphone Speech Recognition, Provisional Patent Application 2016-127

Professional Experience

  • Microsoft Research (MSR), Speech and Dialog Research Group, Summer 2017
    Research Intern, responsible for research on speech recognition
  • Carnegie Mellon University, Electrical and Computer Engineering, 2014 - Present
    Research Assistant, responsible for research on speech recognition
  • Mitsubishi Electric Research Laboratories (MERL), Speech & Audio Lab., Summer 2016
    Research Intern, responsible for research on End-to-end speech recognition system
    Collaboration with Shinji Watanabe, and Takaaki Hori
  • Carnegie Mellon University, School of Computer Science, LTI, 2012 - 2014
    Research Assistant, responsible for research on computational biology, protein protein interaction, and drug repositioning
  • Samsung Electronics, Visual Display Division, 2005 - 2012
    Software Engineer, responsible for development of Internet Protocol Set-top Box software on embedded linux system
  • Samsung Software Membership, 2004 - 2005

Awards and Honors

  • Center for Machine Learning and Health (CMLH) Fellowship in Digital Health, 2017 - 2018
  • Samsung Graduate Fellowship, 2010 - 2011
    Academic Training Program

Teaching