Jong Won Shin

ORCID: 0000-0002-3323-9566
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About
Contact & Profiles
Research Areas
  • Speech and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Music and Audio Processing
  • Blind Source Separation Techniques
  • Speech Recognition and Synthesis
  • Image and Signal Denoising Methods
  • Geophysical Methods and Applications
  • Video Analysis and Summarization
  • Hearing Loss and Rehabilitation

Gwangju Institute of Science and Technology
2014-2017

Seoul National University
2009

Non-negative matrix factorization (NMF) is one of the most well-known techniques that are applied to separate a desired source from mixture data. In NMF framework, collection data factorized into basis and an encoding matrix. The for usually constructed by augmenting matrices independent sources. However, target separation with concatenated turns out be problematic if there exists some overlap between subspaces bases individual sources span. this letter, we propose novel approach improve...

10.1109/lsp.2014.2354456 article EN IEEE Signal Processing Letters 2014-09-15

10.21437/interspeech.2015-412 article EN Interspeech 2022 2015-09-06

Audio fingerprinting techniques should successfully perform content-based audio identification even when the files are slightly or seriously distorted. In this paper, we present a novel technique based on combining fingerprint matching results for multiple hash tables in order to improve robustness of hashing. Multiple built discrete cosine transform (DCT) which is applied time sequence energies each sub-band. Experimental show that recognition errors significantly reduced compared with...

10.1109/icassp.2009.4959520 article EN IEEE International Conference on Acoustics Speech and Signal Processing 2009-04-01
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