C-2-2: Advanced Topics in Signal Processing & Machine Learning - Acoustic & Biomedical Applications |
All times are in New Zealand Time (UTC +13) |
Presentation Time: Wednesday, December 9, 15:30 - 17:00 Check your Time Zone |
C-2-2.1: LOW COMPLEXITY IMPLEMENTATION METHOD FOR THE ADAPTIVE FILTERS BASED ON THE GAUSSIAN MODEL |
Kai Yokoyama; Tokyo Metropolitan University |
Kiyoshi Nishikawa; Tokyo Metropolitan University |
C-2-2.2: COMPARISON OF GENERIC AND SUBJECT-SPECIFIC TRAINING FOR FEATURES CLASSIFICATION IN P300 SPELLER |
Ayana Mussabayeva; Nazarbayev University |
Prashant Kumar Jamwal; Nazarbayev University |
Muhammad Tahir Akhtar; Nazarbayev University |
C-2-2.3: OPTIMAL COMBINATION WEIGHT FOR SPARSE DIFFUSION LEAST-MEAN-SQUARE BASED ON CONSENSUS PROPAGATION |
Ayano Nakai-Kasai; Kyoto University |
Kazunori Hayashi; Kyoto University |
C-2-2.4: EXPLOITING THE RULES OF THE TF-MUSIC AND SPATIAL SMOOTHING TO ENHANCE THE DOA ESTIMATION FOR COHERENT AND NON-STATIONARY SOURCES |
Ruslan Zhagypar; Nazarbayev University |
Kalamkas Zhagyparova; Nazarbayev University |
Muhammad Tahir Akhtar; Nazarbayev University |
C-2-2.5: ADVERSARIAL TRAINING USING INTER/INTRA-ATTENTION ARCHITECTURE FOR SPEECH ENHANCEMENT NETWORK |
Yosuke SUGIURA; Saitama University |
Tetsuya SHIMAMURA; Saitama University |