Technical Program

Paper Detail

Paper:AASP-L3.5
Session:Deep Learning for Source Separation and Enhancement I
Location:Grand Salon 15
Session Time:Wednesday, March 8, 08:30 - 10:30
Presentation Time:Wednesday, March 8, 09:50 - 10:10
Presentation: Lecture
Topic: Audio and Acoustic Signal Processing: Audio and Speech Source Separation
Paper Title: DNN-based Source Enhancement Self-optimized by Reinforcement Learning using Sound Quality Measurements
Authors: Yuma Koizumi, Kenta Niwa, NTT Corporation, Japan; Yusuke Hioka, University of Auckland, New Zealand; Kazunori Kobayashi, NTT Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan