Domestic Conference
[Domestic Conference]
Seunghun Jeong, Hong Kook Kim, "Modification of Feed-Forward Module of Conformer-Based Speech Recognition Using Global Context and Depthwise-Separable Convolutio n", 2021년 한국음성학회 가을 학술대회 논문집, pp. 70, 2021.
Junghyuk Lee, Hong Kook Kim, "Estimation of Direction of Arrival of Dual-Microphone Speech Based on 1D-CNN GoogLeNet", 2021년 한국음성학회 가을 학술대회 논문집, pp. 25, 2021.
Na Yeon Kim, Jung Hyuk Lee, Chang-Soo Park, Hong Kook Kim, "A Comparative Study on Autoencoder Architectures for Anomaly Detection of Optical Fiber OTDR Data ", 2021년 한국통신학회 추계종합학술발표회 논문집, 2021.
Geon Woo Lee, Hong Kook Kim, "A Study of Domain Adversarial Training for Robust Speech Enhancement in Various Military Noise Environments ", 2021년 한국통신학회 추계종합학술발표회 논문집, 2021.
Jimin Jun, Hong Kook Kim, "Short-term Temperature Prediction Based on CNN-BLSTM Using LDAPS-Predicted andAWS-Observed Data", 제2회 한국인공지능학술대회 논문집, pp. 197-198, 2021.
Nam Kyun Kim, Hong Kook Kim, Chung Hyun Ahn, "Residual Convolutional Recurrent Neural Network-Based Sound Event Classification Applicable to Broadcast Captioning Services", 2021년도 한국방송・미디어공학회 하계학술대회논문집, pp. 26-27, 2021.
Suwhoan Lim, Dong Keon Park, Hong Kook Kim, "A Study on the Optimization of Korean FastSpeech2 by Manipulating Model Hyperparameters", 2021년도 한국통신학회 하계종합발표회논문집, pp. 242-243, 2021.
Ilhoon Song, Hong Kook Kim, "BiLSTM-Based Binary Mask Estimation for Generalized Eigenvalue Beamformer", 제1회 한국인공지능학술대회 논문집 pp. 168-169, 2020.
Geon Woo Cho, Dong Keon Park, Hong Kook Kim, "LSTM-based Earthquake Anomaly Detection Applied to Total Electron Current Data", 제1회 한국인공지능학술대회 논문집 pp. 111-112, 2021.
Geon Woo Lee, Hong Kook Kim, "Multi-channel Speech Enhancement Based on Multi-task U-net and Channel Attention", 2020년 한국음성학회 가을 학술대회 논문집, pp. 41, 2020.
Inyoung Park, Hong Kook Kim, "A Study on Sound Source Classification Based on Faster Regional Convolutional Neural Network Applicable to the Detection of Children Speech", 2020년 한국통신학회 추계종합학술발표회 논문집, pp. 3-4, 2020.
Geon Woo Lee, Hong Kook Kim, "A U-Net-Based Speech Enhancement Method Using Multi-Task Leaning in Military Noisy Environments", 2020 한국군사과학기술학회 종합학술대회 논문집, pp. 174-175, 2020.
Dongkeon Park , Hong Kook Kim, "Variational Autoencoder Based on Fuzzy Discrete Learning", 제30회 신호처리합동학술대회논문집, pp. 24-25, 2020.
Junghyuk Lee, Seon Kyo Kim, Hong Kook Kim, "보안 통신용 보코더에 적용 가능한 자기부호화기 기반 스펙트럼 변형", 2020년도 한국전자파학회 하계종합학술대회 논문집, pp. 268, 2020.
Jung Hyuk Lee, Geon Woo Lee, Seong Ju Kim, Guiyoung Bong, Hee Jeong Yoo, Hong Kook Kim, "A Preliminary Study on Speech-Based Classification of Autism Spectrum Disorder Using a Deep Neural Network ", 2020년도 한국통신학회 하계종합발표회논문집, pp. 66, 2020.
Nam Kyun Kim, Dong Keun Park, Jun Ho Kim, Hong Kook Kim, Chung Hyun Ahn, "Sound Event Classification Based on Concatenated Residual Network Applicable to Closed Captioning Services for the Hearing Impaired", 2020년 한국방송미디어공학회 하계학술대회논문집, pp. 350-353, 2020.
Seong Yeop Jeong, Inyoung Park, Hyun Soo Kim, Chul Han Song, Hong Kook Kim, "A Study on Aerosol Prediction Model Based on a Convolutional Neural Network Using Numerical Weather Prediction Data", 제29회 신호처리합동학술대회 논문집, pp. 86-88, 2019.
Seong-Ju Kim, Geon Woo Lee, Hong Kook Kim, "A Study on Speech Characteristics of Infants with Autism Spectrum Disorder", 제29회 신호처리합동학술대회 논문집, pp. 84-85, 2019.
Seong Yeop Jeong, Inyoung Park, Hong Kook Kim, "On improving the performance of BLSTM-based aerosol prediction using observation datafrom nearby weather stations", 2019년도 한국통신학회 하계학술대회논문집, 17D-34, pp. 1101, 2019.
Jung Hyuk Lee, Hong Kook Kim, Seon Kyo Kim, "Vocoder Parameter Reduction Based on Deep Learning Auto-Encoder", 2019 한국음성학회 봄 학술대회 발표 논문집, pp. 131, 2019.
Tae Woo Kim, Nam Kyun Kim, Geon Woo Lee, Hong Kook Kim, "A Study on DNN-Based Beamforming for Multi-Channel Microphone Array", 2019 한국음성학회 봄 학술대회 발표 논문집, pp. 69, 2019.
Jeong Hyeon Yang, Nam Kyun Kim, Hong Kook Kim, "Acoustic Scene Classification Using GAN-Based Data Augmentation and Squeeze-and-Excitation Residual Network", 2018년도 대한전자공학회 추계학술대회논문집, pp. 443-444, 2018.
Geon Woo Lee, Inyoung Park, Hong Kook Kim, "Deep Learning Based Cepstrum-Domain Mask Estimation for Noisy Speech Recognition", 2018 한국음성학회 가을 학술대회, pp.89-90, 2018.
Ji Won Lee, Nam Kyun Kim, Hong Kook Kim, "Speech Emotion Recognition Based on Convolutional Neural Network Using Linear Regression", 2018 한국음성학회 가을 학술대회, pp. 111, 2018.
Moon Ju Jo, Tae Woo Kim, Hong Kook Kim, "A Study on Feedforward Deep Neural Network Based Beamforming for Multi-channel Speech Recognition", 2018 한국음성학회 가을 학술대회, pp. 93, 2018.
Moon Ju Jo, Geon Woo Lee, Hong Kook Kim, "Estimation of MVDR Beamforming Weights Based on Neural Network", 2018 한국군사과학기술학회 종합학술대회, pp. 375-376, 2018.
Junghyuk Lee, Hong Kook Kim, "Deep Learning Based Military Vocoder Type Detection Applied to Vocoder Bitstream", 2018년 한국음성학회 봄 학술대회 논문집, pp. 87, 2018.
Geon Woo Lee, Junghyuk Lee, Jeong-Hyeon Yang, Hong Kook Kim, Chung-Hyun Ahn, "Detection of Audio Description Intervals Using Cepstrum parameters of Main and Sub-Audio", 2018년 한국음성학회 봄 학술대회 논문집, pp. 26, 2018.
Nam Kyun Kim, Kwang Myung Jeon, Hong Kook Kim, "An Acoustic Event Detection Method in Tunnels Using Nonnegative Tensor Factorization", 인문사회과학기술융합학회, pp. 419-422, 2018.