{"title":"Editorial for the Special Issue on Advanced Acoustic, Sound and Audio Processing Techniques and Their Applications","authors":"Yu Tsao, Shoji Makino, Y. Kajikawa, Nobutaka Ono","doi":"10.1561/116.00001100","DOIUrl":"https://doi.org/10.1561/116.00001100","url":null,"abstract":"With recent advancements in sensing, computing","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conditional Adversarial Learning for Empathetic Dialogue Response Generation","authors":"Ming-Hsiang Su, Chung-Hsien Wu, Chia-Yu Liao","doi":"10.1561/116.00000081","DOIUrl":"https://doi.org/10.1561/116.00000081","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen-Huang Cheng, Jenq-Neng Hwang, Ivan Bajic, Rei Kawakami, Shiqi Wang, Jiaying Liu
This article summarizes the panel discussion on “Emerging AI Technologies for Smart Infrastructure” organized by the U
{"title":"Emerging AI Technologies for Smart Infrastructure","authors":"Wen-Huang Cheng, Jenq-Neng Hwang, Ivan Bajic, Rei Kawakami, Shiqi Wang, Jiaying Liu","doi":"10.1561/116.00000030","DOIUrl":"https://doi.org/10.1561/116.00000030","url":null,"abstract":"This article summarizes the panel discussion on “Emerging AI Technologies for Smart Infrastructure” organized by the U","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bingxin Hou, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu
{"title":"A Survey of Efficient Deep Learning Models for Moving Object Segmentation","authors":"Bingxin Hou, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu","doi":"10.1561/116.00000140","DOIUrl":"https://doi.org/10.1561/116.00000140","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Speech-and-Text Transformer: Exploiting Unpaired Text for End-to-End Speech Recognition","authors":"Qinyi Wang, Xinyuan Zhou, Haizhou Li","doi":"10.1561/116.00000001","DOIUrl":"https://doi.org/10.1561/116.00000001","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67079827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Weihao Zhuang, T. Hascoet, Xun-Yu Chen, R. Takashima, T. Takiguchi, Y. Ariki
{"title":"Convolutional Neural Networks Inference Memory Optimization with Receptive Field-Based Input Tiling","authors":"Weihao Zhuang, T. Hascoet, Xun-Yu Chen, R. Takashima, T. Takiguchi, Y. Ariki","doi":"10.1561/116.00000015","DOIUrl":"https://doi.org/10.1561/116.00000015","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67079990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Analyses of Dysarthric Speech based on Distinctive Features","authors":"Ka Ho WONG, H. Meng","doi":"10.1561/116.00000077","DOIUrl":"https://doi.org/10.1561/116.00000077","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rapid advances have occurred in Internet of Things technologies. Among Internet of Things–related applications, Internet of Vehicles (IoV) is regarded as integral infrastructure for next-generation intelligent transportation systems. IoV requires vehicles to perceive their surroundings reliably. In particular, researchers have focused on LiDAR sensing because it is robust in extreme weather. However, IoV sensing data are transmitted between vehicles and the cloud, and LiDAR requires a large quantity of data; thus, communication for cloud computing might be challenging. To address this difficulty, a LiDAR-based detection method for an IoV edge node is proposed. Small-object detection through LiDAR sensing is difficult because of the sparsity of point clouds. Although some researchers have attempted to solve this problem by fusing raw point cloud details, existing approaches still reduce model efficiency and memory cost, which is unsuitable for IoV. To overcome the problem, this paper proposes a novel model that enhances three-dimensional (3D)
{"title":"An Edge Lidar-Based Detection Method in Intelligent Transportation System","authors":"Yung-Yao Chen, Hsin-Chun Lin, Hao-Wei Hwang, K. Hua, Yu-Ling Hsu, Sin-Ye Jhong","doi":"10.1561/116.00000118","DOIUrl":"https://doi.org/10.1561/116.00000118","url":null,"abstract":"Rapid advances have occurred in Internet of Things technologies. Among Internet of Things–related applications, Internet of Vehicles (IoV) is regarded as integral infrastructure for next-generation intelligent transportation systems. IoV requires vehicles to perceive their surroundings reliably. In particular, researchers have focused on LiDAR sensing because it is robust in extreme weather. However, IoV sensing data are transmitted between vehicles and the cloud, and LiDAR requires a large quantity of data; thus, communication for cloud computing might be challenging. To address this difficulty, a LiDAR-based detection method for an IoV edge node is proposed. Small-object detection through LiDAR sensing is difficult because of the sparsity of point clouds. Although some researchers have attempted to solve this problem by fusing raw point cloud details, existing approaches still reduce model efficiency and memory cost, which is unsuitable for IoV. To overcome the problem, this paper proposes a novel model that enhances three-dimensional (3D)","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TypeEA: Type-Associated Embedding for Knowledge Graph Entity Alignment","authors":"Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo","doi":"10.1561/116.00000139","DOIUrl":"https://doi.org/10.1561/116.00000139","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Review and Analysis of Recent NeRFs","authors":"Fang Zhu, Shuai Guo, Li Song, Ke Xu, Jiayu Hu","doi":"10.1561/116.00000162","DOIUrl":"https://doi.org/10.1561/116.00000162","url":null,"abstract":"","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67081689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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