ScholarWorks@Soongsil University: Kim, Gibak

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Kim, Gibak (김기백)

College of Engineering (School of Electrical Engineering)

Research Area: 음성신호처리, 기계학습, 전력수요예측, Speech signal processing, machine learning, load forecasting

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Noise reduction:4||Explainable artificial intelligence:3||Load forecasting:3||multichannel Wiener filter:3||Binary mask:3||.:3||Machine learning:2||microphone array:2||noise reduction:2||noise suppression:2||Speech intelligibility:2||Feature importance:2||Visual voice activity detection:2||Intensity variation:2||XGBoost:2||Optical flow:2||IIIV semiconductors:1||Image fusion:1||MSF ddilation wavelet:1||Machine Learning:1||Multichannel Wiener filter:1||Noise suppression:1||NonMSF Awavelets:1||Plate recognition:1||Prompt Engineering:1||SDWMWF:1||SHAP:1||Satellite imagery:1||Scaling sets:1||Solar power forecasting:1||Speech disorder:1||Speech presence probability:1||Speech signal processing:1||Subspace decomposition:1||Timefrequency mask:1||Viterbi algorithm:1||Voice activity detection:1||Wavelet plane:1||adaptation:1||aluminium compounds:1||beamforming:1||binary mask:1||ddilation wavelet:1||ddilation wavelet set:1||device performance:1||energy loss turnoff:1||etching:1||etching process:1||gallium compounds:1||gate power devices:1||gate region:1||hole trapping:1||image fusion:1||power semiconductor devices:1||satellite imagery:1||speech distortion weights:1||speech intelligibility:1||speech recognition:1||turnoff gate voltages:1||wavelet transform:1||wide band gap semiconductors:1||다채널 위너 필터:1||부공간 분해:1||생성형 언어모델:1||음성 존재 확률:1||잡음 제거:1||코딩 교육:1||평가 방법:1||프롬프트 엔지니어링:1||Awavelet sets:1||Awavelets:1||AlGaNGaN:1||Assessment Approach:1||Binarization:1||Binary mask estimation:1||Classification:1||Coding Education:1||Cross power spectrum phase:1||Dualmicrophone:1||Environment adaptation:1||Gaussian mixture model:1||Generative Language Model:1||Histogram matching:1||Hyperparameter:1||

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