Zhenhai TAN Yun YANG Xiaoman WANG Fayez ALQAHTANI
Chenrui CHANG Tongwei LU Feng YAO
Takuma TSUCHIDA Rikuho MIYATA Hironori WASHIZAKI Kensuke SUMOTO Nobukazu YOSHIOKA Yoshiaki FUKAZAWA
Shoichi HIROSE Kazuhiko MINEMATSU
Toshimitsu USHIO
Yuta FUKUDA Kota YOSHIDA Takeshi FUJINO
Qingping YU Yuan SUN You ZHANG Longye WANG Xingwang LI
Qiuyu XU Kanghui ZHAO Tao LU Zhongyuan WANG Ruimin HU
Lei Zhang Xi-Lin Guo Guang Han Di-Hui Zeng
Meng HUANG Honglei WEI
Yang LIU Jialong WEI Shujian ZHAO Wenhua XIE Niankuan CHEN Jie LI Xin CHEN Kaixuan YANG Yongwei LI Zhen ZHAO
Ngoc-Son DUONG Lan-Nhi VU THI Sinh-Cong LAM Phuong-Dung CHU THI Thai-Mai DINH THI
Lan XIE Qiang WANG Yongqiang JI Yu GU Gaozheng XU Zheng ZHU Yuxing WANG Yuwei LI
Jihui LIU Hui ZHANG Wei SU Rong LUO
Shota NAKAYAMA Koichi KOBAYASHI Yuh YAMASHITA
Wataru NAKAMURA Kenta TAKAHASHI
Chunfeng FU Renjie JIN Longjiang QU Zijian ZHOU
Masaki KOBAYASHI
Shinichi NISHIZAWA Masahiro MATSUDA Shinji KIMURA
Keisuke FUKADA Tatsuhiko SHIRAI Nozomu TOGAWA
Yuta NAGAHAMA Tetsuya MANABE
Baoxian Wang Ze Gao Hongbin Xu Shoupeng Qin Zhao Tan Xuchao Shi
Maki TSUKAHARA Yusaku HARADA Haruka HIRATA Daiki MIYAHARA Yang LI Yuko HARA-AZUMI Kazuo SAKIYAMA
Guijie LIN Jianxiao XIE Zejun ZHANG
Hiroki FURUE Yasuhiko IKEMATSU
Longye WANG Lingguo KONG Xiaoli ZENG Qingping YU
Ayaka FUJITA Mashiho MUKAIDA Tadahiro AZETSU Noriaki SUETAKE
Xingan SHA Masao YANAGISAWA Youhua SHI
Jiqian XU Lijin FANG Qiankun ZHAO Yingcai WAN Yue GAO Huaizhen WANG
Sei TAKANO Mitsuji MUNEYASU Soh YOSHIDA Akira ASANO Nanae DEWAKE Nobuo YOSHINARI Keiichi UCHIDA
Kohei DOI Takeshi SUGAWARA
Yuta FUKUDA Kota YOSHIDA Takeshi FUJINO
Mingjie LIU Chunyang WANG Jian GONG Ming TAN Changlin ZHOU
Hironori UCHIKAWA Manabu HAGIWARA
Atsuko MIYAJI Tatsuhiro YAMATSUKI Tomoka TAKAHASHI Ping-Lun WANG Tomoaki MIMOTO
Kazuya TANIGUCHI Satoshi TAYU Atsushi TAKAHASHI Mathieu MOLONGO Makoto MINAMI Katsuya NISHIOKA
Masayuki SHIMODA Atsushi TAKAHASHI
Yuya Ichikawa Naoko Misawa Chihiro Matsui Ken Takeuchi
Katsutoshi OTSUKA Kazuhito ITO
Rei UEDA Tsunato NAKAI Kota YOSHIDA Takeshi FUJINO
Motonari OHTSUKA Takahiro ISHIMARU Yuta TSUKIE Shingo KUKITA Kohtaro WATANABE
Iori KODAMA Tetsuya KOJIMA
Yusuke MATSUOKA
Yosuke SUGIURA Ryota NOGUCHI Tetsuya SHIMAMURA
Tadashi WADAYAMA Ayano NAKAI-KASAI
Li Cheng Huaixing Wang
Beining ZHANG Xile ZHANG Qin WANG Guan GUI Lin SHAN
Sicheng LIU Kaiyu WANG Haichuan YANG Tao ZHENG Zhenyu LEI Meng JIA Shangce GAO
Kun ZHOU Zejun ZHANG Xu TANG Wen XU Jianxiao XIE Changbing TANG
Soh YOSHIDA Nozomi YATOH Mitsuji MUNEYASU
Ryo YOSHIDA Soh YOSHIDA Mitsuji MUNEYASU
Nichika YUGE Hiroyuki ISHIHARA Morikazu NAKAMURA Takayuki NAKACHI
Ling ZHU Takayuki NAKACHI Bai ZHANG Yitu WANG
Toshiyuki MIYAMOTO Hiroki AKAMATSU
Yanchao LIU Xina CHENG Takeshi IKENAGA
Kengo HASHIMOTO Ken-ichi IWATA
Shota TOYOOKA Yoshinobu KAJIKAWA
Kyohei SUDO Keisuke HARA Masayuki TEZUKA Yusuke YOSHIDA
Hiroshi FUJISAKI
Tota SUKO Manabu KOBAYASHI
Akira KAMATSUKA Koki KAZAMA Takahiro YOSHIDA
Tingyuan NIE Jingjing NIE Kun ZHAO
Xinyu TIAN Hongyu HAN Limengnan ZHOU Hanzhou WU
Shibo DONG Haotian LI Yifei YANG Jiatianyi YU Zhenyu LEI Shangce GAO
Kengo NAKATA Daisuke MIYASHITA Jun DEGUCHI Ryuichi FUJIMOTO
Jie REN Minglin LIU Lisheng LI Shuai LI Mu FANG Wenbin LIU Yang LIU Haidong YU Shidong ZHANG
Ken NAKAMURA Takayuki NOZAKI
Yun LIANG Degui YAO Yang GAO Kaihua JIANG
Guanqun SHEN Kaikai CHI Osama ALFARRAJ Amr TOLBA
Zewei HE Zixuan CHEN Guizhong FU Yangming ZHENG Zhe-Ming LU
Bowen ZHANG Chang ZHANG Di YAO Xin ZHANG
Zhihao LI Ruihu LI Chaofeng GUAN Liangdong LU Hao SONG Qiang FU
Kenji UEHARA Kunihiko HIRAISHI
David CLARINO Shohei KURODA Shigeru YAMASHITA
Qi QI Zi TENG Hongmei HUO Ming XU Bing BAI
Ling Wang Zhongqiang Luo
Zongxiang YI Qiuxia XU
Donghoon CHANG Deukjo HONG Jinkeon KANG
Xiaowu LI Wei CUI Runxin LI Lianyin JIA Jinguo YOU
Zhang HUAGUO Xu WENJIE Li LIANGLIANG Liao HONGSHU
Seonkyu KIM Myoungsu SHIN Hanbeom SHIN Insung KIM Sunyeop KIM Donggeun KWON Deukjo HONG Jaechul SUNG Seokhie HONG
Manabu HAGIWARA
Jiaxin WU Bing LI Li ZHAO Xinzhou XU
語音情緒偵測(SED)的任務旨在判斷說話者表達情緒時的正類和負類。 SED 的表現在很大程度上取決於從演講中提取的情緒特徵的多樣性和突出性。然而,現有的相關研究大多集中於研究單一特徵源和手工特徵的影響。因此,我們提出了一種使用基於多源低階資訊的循環分支的 SED 方法。融合多源低層訊息從語音情緒訊號中獲得多樣性和區分性的表示。此外,焦點損失函數有利於不平衡類別,從而減少了分類良好的樣本的比例,並增加了 SED 任務中困難樣本的權重。在IEMOCAP語料庫上的實驗證明了此方法的有效性。與基線相比,MSIR 在未加權平均召回率和 F1 分數方面實現了顯著的性能改進。
Yoichi HINAMOTO Shotaro NISHIMURA
探索了自適應二階 IIR 陷波數位濾波器的狀態空間方法。從梯度下降法導出了一種簡化的迭代演算法,以最小化自適應陷波數位濾波器的均方輸出。然後透過採用一階線性動力系統來分析穩定性和參數估計偏差。因此,可以明確得出的參數估計是無偏的。最後,透過數值算例驗證了自適應狀態空間陷波數位濾波器和參數估計偏差分析的有效性和有效性。
Ming YUE Yuyang PENG Liping XIONG Chaorong ZHANG Fawaz AL-HAZEMI Mohammad Meraj MIRZA
在本文中,我們提出了一種新穎的通訊方案,將可重構智慧表面與發射自適應空移鍵控(RIS-TASSK)相結合,其中有源天線的數量不固定。在每個時隙中,將從所有可用的天線組合中選擇期望的候選天線或天線組合來傳送訊息位元。此外,針對RIS-TASSK提出了一種基於通道增益的天線選擇方法,以分別提高誤碼率(BER)效能並降低複雜度。透過與RIS輔助發射空移鍵控和RIS輔助發射廣義空移鍵控方案的比較,模擬和理論結果表明,該方案具有更好的誤碼率性能和適當的複雜度。