Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific最新文献_第4页

Excitation source design for high-quality speech manipulation systems based on a temporally static group delay representation of periodic signals 基于周期信号的时间静态群延迟表示的高质量语音处理系统的激励源设计

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041594

Hideki Kawahara, M. Morise, T. Toda, Hideki Banno, R. Nisimura, T. Irino

引用次数: 1

Quality enhancement for feature matching on car black box videos 汽车黑匣子视频特征匹配的质量增强

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041750

C. Simon, Man Hee Lee, I. Park

引用次数: 0

Improved robustness of biometrie authentication system using features of utterance 利用话语特征改进生物特征认证系统的鲁棒性

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041562

Qian Shi, Y. Kajikawa

引用次数: 0

Enhancement of EMG-based Thai number words classification using frame-based time domain features with stacking filter 基于帧时域特征和叠加滤波器增强基于肌电图的泰文数字词分类

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041549

N. Srisuwan, Michael Wand, M. Janke, P. Phukpattaranont, Tanja Schultz, C. Limsakul

{"title":"Enhancement of EMG-based Thai number words classification using frame-based time domain features with stacking filter","authors":"N. Srisuwan, Michael Wand, M. Janke, P. Phukpattaranont, Tanja Schultz, C. Limsakul","doi":"10.1109/APSIPA.2014.7041549","DOIUrl":"https://doi.org/10.1109/APSIPA.2014.7041549","url":null,"abstract":"In order to overcome a problem existing in a classical automatic speech recognition (e.g. ambient noise and loss of privacy), Electromyography (EMG) from speech production muscles was used in place of a human speech signal. We aim to investigate the EMG speech recognition based on Thai language. The earlier work, we used five channels of the EMG from the facial and neck muscles to classify 11 Thai number words based on Neural Network Classification. 15 features in time domain and frequency domain were employed for feature extraction. We obtained an average accuracy rate of 89.45% for audible speech and 78.55% for silent speech. However, it needs to be enhanced to get the best result. This paper proposes to improve an accuracy rate of EMG-based Thai number words classification. The ten subjects uttered 11 words in both an audible and a silent speech while five channels of the EMG signal were captured. Frame-based time domain features with a stacking filter was performed for feature extraction stage. After that, LDA was used to lessen a dimension of the feature vector. Hidden Markov Model (HMM) was employed in classification stage. The results show that using above techniques of feature extraction, feature dimensionality reduction and classification can improve an average accuracy rate by 3% absolute for audible speech when were compared to earlier work. We achieved an average classification rate of 92.45% and 75.73% for audible and silent speech respectively.","PeriodicalId":231382,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127938852","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}

引用次数: 1

Combined per-user SLNR and SINR criterions for interference alignment in uplink coordinated multi-point joint reception 上行协调多点联合接收中干扰对准的单用户单反比和信噪比联合准则

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041771

A. E. Rakhmania, P. Tsai, O. Setyawati

引用次数: 2

Wiring control by RTL design for reconfigurable wave-pipelined circuits 基于RTL设计的可重构波管电路布线控制

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041673

Tomoaki Sato, S. Chivapreecha, P. Moungnoul

引用次数: 4

Probabilistic growth model for dendrobium orchid 兰花石斛的概率生长模型

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041816

Korakoch Kongsombut, R. Chaisricharoen

引用次数: 1

Affected people's needs detection after the East Japan Great Earthquake — Time series analysis using LDA 东日本大地震后受灾群众需求检测——LDA时间序列分析

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041714

T. Hashimoto, B. Chakraborty, S. Aramvith, T. Kuboyama, Y. Shirota

{"title":"Affected people's needs detection after the East Japan Great Earthquake — Time series analysis using LDA","authors":"T. Hashimoto, B. Chakraborty, S. Aramvith, T. Kuboyama, Y. Shirota","doi":"10.1109/APSIPA.2014.7041714","DOIUrl":"https://doi.org/10.1109/APSIPA.2014.7041714","url":null,"abstract":"After the East Japan Great Earthquake happened on Mar. 11, 2011, many affected people who lost houses, jobs and families fell into difficulties. Governmental agencies and NPOs supported them by offering relief supplies, foods, evacuation centers and temporary houses. When various supports were offered to affected people, if Governmental agencies and NPOs could detect their needs appropriately, it was effective for supporting them. This paper proposes the method to extract affected people's needs from Social Media after the Earthquake and analyze their needs changes over time. We target the blog that expressed thoughts, requirements and complaints of affected people, and adopt the Latent Dirichlet Allocation (LDA) that is one of popular techniques for topic extraction. We then compare the analysis result with affected people's actual situation and real events and evaluate the effectiveness of our method. In addition, we evaluate the effectiveness as the method that can help decision making for providing appropriate supports to affected people.","PeriodicalId":231382,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983482","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}

引用次数: 4

Enhanced local feature approach for overlapping sound event recognition 基于增强局部特征的重叠声事件识别方法

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041646

J. Dennis, T. H. Dat

引用次数: 1

An effective reduction of subproblems in design of CSD coefficient FIR filters CSD系数FIR滤波器设计中子问题的有效减少

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific Pub Date : 2014-12-01 DOI: 10.1109/APSIPA.2014.7041542

Takuya Imaizumi, K. Suyama

引用次数: 0