International Journals

Younggwan Kim, Myung Jong Kim, Jahyun Goo, and Hoirin Kim, “Learning Self-Informed Feature Contribution for Deep Learning-Based Acoustic Modeling,” IEEE/ACM Trans. on Audio, Speech and Language Processing, Vol. 26, No. 11, pp. 2204-2214, Nov. 2018. 

Byeong G. Choi, Yeong H. Sohn, Eun S. Lee, Seung H. Han, Hoi R. Kim, and Chun T. Rim, “Coreless Transmitting Coils with Conductive Magnetic Shield for Wide-Range Ubiquitous IPT,” IEEE Transactions on Power Electronics, Jul. 2018. 

Youngjoo Suh and Hoirin Kim, “Histogram Equalization with Bayesian Estimation for Noise Robust Speech Recognition,” Journal of the Acoustical Society of America, Vol. 143, No. 2, pp. 677-685, Feb. 2018. 

 Myungjong Kim, Younggwan Kim, Joohong Yoo, Jun Wang, and Hoirin Kim, “Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition,” IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 25, No. 9, pp. 1581-1591, Sep. 2017. 

Youngjoo Suh and Hoirin Kim, "Probabilistic Class Histogram Equalization Based on Posterior Mean Estimation for Robust Speech Recognition," IEEE Signal Processing Letters, Vol. 22, No. 12, pp. 2421-2424, Dec. 2015.

International Conferences

Youngmoon Jung, Younggwan Kim, Yeunju Choi, Hoirin Kim, “Joint Learning using Denoising Variational Autoencoders for Voice Activity Detection,” Interspeech2018, pp. 1210-1214.  Sept. 2018.

Hyungjun Lim, Jahyun Goo, Sungmin Lim, Hoirin Kim, “Score fusion based Vocabulary Independent Spoken Term Detection,” ICCE-Asia, pp. 365-367, June 2018.

Younggwan Kim, Youngmoon Jung, Yeunju Choi, Hoirin Kim, “Deep Least Squares Regression-Based Speaker-Dependent Layer Initialization for DNN Acoustic Model Adaptation,” ICCE-Asia, pp. 361-364, June 2018.

Hyungjun Lim, Younggwan Kim, Yoonhoe Kim, Hoirin Kim, “CNN-based Bottleneck Feature for Noise Robust Query-by-Example Spoken Term Detection,” APSIPA2017, Dec. 2017.

Yoonhoe Kim, Younggwan Kim, Hyungjun Lim, Hoirin Kim, “DNN-driven I-vector based speaker identification on mismatch environments,” SICSS2017, pp. 155, Nov. 2017.

Youngmoon Jung, Younggwan Kim, Hyungjun Lim, Hoirin Kim, “Linear-scale filterbank for Deep neural network-based voice activity detection,” O-COCOSDA2017, pp. 43-47, Nov. 2017. 

Youngjoo Suh, Younggwan Kim, Hyungjun Lim, Jahyun Goo, Youngmoon Jung, Yeonjoo Choi, Hoirin Kim, Dae-Lim Choi, and Yongju Lee, “Development of distant multi-chanNel speech and noise databases for speech recognition by in-door conversational robots,” O-COCOSDA2017, pp. 5-8, Nov. 2017. 

Younggwan Kim, Hyungjun Lim, Jahyun Goo, and Hoirin Kim, “Deep Least Squares Regression for Speaker Adaptation,” Interspeech2017, pp. 729-733, Aug. 2017. 

Block diagram of recent publication

Youngmoon Jung, Younggwan Kim, Yeunju Choi, Hoirin Kim, “Joint Learning using Denoising Variational Autoencoders for Voice Activity Detection,” Interspeech2018, pp. 1210-1214.  Sept. 2018.