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On the Use of Bottleneck Features of CNN Auto-Encoder for Personalized HRTFs

Authors: Lee, Geon Woo; Moon, Jung Min; Chun, Chan Jun; Kim, Hong Kook
Affiliation: Korea Institute of Civil Engineering and Building Technology (KICT), Goyang, Korea; Gwangju Institute of Science and Tech (GIST), Gwangju, Korea
Publication Date: May 2018
Type: Convention Paper
Cost: Free to AES members & institutions and $33 to non-members

Estimation of MVDR Beamforming Weights Based on Deep Neural Network

Authors: Jo, Moon Ju; Lee, Geon Woo; Moon, Jung Min; Cho, Choongsang; Kim, Hong Kook
Affiliation: Gwangju Institute of Science and Technology (GIST), Gwangju, Korea; Artificial Intelligence Research Center, Korea Electronics Technology Institute (KETI), Sungnam, Korea
Publication Date: October 2018
Type: Convention Paper
Cost: Free to AES members & institutions and $33 to non-members

Deep Neural Network Based HRTF Personalization Using Anthropometric Measurements

Authors: Chun, Chan Jun; Moon, Jung Min; Lee, Geon Woo; Kim, Nam Kyun; Kim, Hong Kook
Affiliation: Korea Institute of Civil Engineering and Building Technology (KICT), Goyang, Korea; Gwangju Institute of Science and Technology (GIST), Gwangju. Korea; Gwangju Institute of Science and Technology (GIST), Gwangju, Korea; Gwangju Institute of Science and Tech (GIST), Gwangju, Korea
Publication Date: October 2017
Type: Convention Paper
Cost: Free to AES members & institutions and $33 to non-members