The SISA2025 technical program committee announces the winners of SISA2025 Best Student Paper Award, SISA2025 Excellent Student Paper Award, and SISA2025 Selected Papers as below.<\/p>\n\n\n\n
SISA2025 Best Student Paper Award<\/strong><\/p>\n\n\n\n RS1-06 <\/p>\n\n\n\n SISA2025 Excellent Student Paper Awards<\/strong><\/p>\n\n\n\n RS1-07 <\/p>\n\n\n\n SISA2025 Selected Papers<\/strong><\/p>\n\n\n\n RS1-04 RS1-05 RS1-06 RS1-07 RS1-10 The SISA2025 technical program committee announces the winners of SISA2025 Best Student Paper Award, SISA2025 Excellent Student Paper Award, and SISA2025 Selected Papers as below. SISA2025 Best Student Paper Award RS1-06Gated Co-Guidance for Multimodal Graph Neural Networks in Recommendation SystemsPhumiphat Santithawornying, King Mongkut’s University of Technology Thonburi, Thailand SISA2025 Excellent Student Paper Awards RS1-07Speaker Identification … Continue reading SISA 2025 Student Paper Awards<\/span>
Gated Co-Guidance for Multimodal Graph Neural Networks in Recommendation Systems
<\/strong>Phumiphat Santithawornying, King Mongkut’s University of Technology Thonburi, Thailand<\/p>\n\n\n\n
Speaker Identification with Bidirectional Echo State Networks for Wake Word Detection
<\/strong>Rohan Saini, Kyushu Institute of Technology, Japan
RS1-10
Speech Enhancement Based on Degraded Speech Generation Using Dual Style Encoders for Optical Laser Microphone
<\/strong>Yuki Nakano, Ritsumeikan University, Japan <\/p>\n\n\n\n
Transmission of Audio Containing Embedded Images over Auracast<\/strong>
Hiroto Sasaki, Kyoto Sangyo University, Japan <\/p>\n\n\n\n
Binaural Room Impulse Response Estimation from Handclaps and Its Comparison with TSP Measurements
<\/strong>Sae Nishimura, Kyoto Sangyo University, Japan <\/p>\n\n\n\n
Gated Co-Guidance for Multimodal Graph Neural Networks in Recommendation Systems<\/strong>
Phumiphat Santithawornying, King Mongkut’s University of Technology Thonburi, Thailand
<\/p>\n\n\n\n
Speaker Identification with Bidirectional Echo State Networks for Wake Word Detection
<\/strong>Rohan Saini, Kyushu Institute of Technology, Japan <\/p>\n\n\n\n
Speech Enhancement Based on Degraded Speech Generation Using Dual Style Encoders for Optical Laser Microphone
<\/strong>Yuki Nakano, Ritsumeikan University, Japan<\/p>\n","protected":false},"excerpt":{"rendered":"