2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)最新文献

Enhanced forensic speaker verification using multi-run ICA in the presence of environmental noise and reverberation conditions 在存在环境噪声和混响条件下，使用多运行ICA增强法医扬声器验证

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-12-01 DOI: 10.1109/ICSIPA.2017.8120601

Ahmed Kamil Hasan Al-Ali, B. Senadji, G. Naik

{"title":"Enhanced forensic speaker verification using multi-run ICA in the presence of environmental noise and reverberation conditions","authors":"Ahmed Kamil Hasan Al-Ali, B. Senadji, G. Naik","doi":"10.1109/ICSIPA.2017.8120601","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120601","url":null,"abstract":"The performance of forensic speaker verification degrades severely in the presence of high levels of environmental noise and reverberation conditions. Multiple channel speech enhancement algorithms are a possible solution to reduce the effect of environmental noise from the noisy speech signals. Although multiple speech enhancement algorithms such as multi-run independent component analysis (ICA) were used in previous studies to improve the performance of recognition in biosignal applications, the effectiveness of multi-run ICA algorithm to improve the performance of noisy forensic speaker verification under reverberation conditions has not been investigated yet. In this paper, the multi-run ICA algorithm is used to enhance the noisy speech signals by choosing the highest signal to interference ratio (SIR) of the mixing matrix from different mixing matrices generated by iterating the fast ICA algorithm for several times. Wavelet-based mel frequency cepstral coefficients (MFCCs) feature warping approach is applied to the enhanced speech signals to extract the robust features to environmental noise and reverberation conditions. The state-of-the-art intermediate vector (i-vector) and probabilistic linear discriminant analysis (PLDA) are used as a classifier in our approach. Experimental results show that forensic speaker verification based on the multi-run ICA algorithm achieves significant improvements in equal error rate (EER) of 60.88%, 51.84%, 66.15% over the baseline noisy speaker verification when enrolment speech signals reverberated at 0.15 sec and the test speech signals were mixed with STREET, CAR and HOME noises respectively at −10 dB signal to noise ratio (SNR).","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130484090","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: 11

A real-time multi-class multi-object tracker using YOLOv2 使用YOLOv2的实时多类多目标跟踪器

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-13 DOI: 10.1109/ICSIPA.2017.8120665

KangUn Jo, Jung-Hui Im, Jingu Kim, Dae-Shik Kim

引用次数: 17

Optimal motion estimation using reduced bits and its low power VLSI implementation 基于降位的最优运动估计及其低功耗VLSI实现

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120620

S. Agha, Farmanullah Jan, Dilshad Sabir, Khurram Saleem, Usman Ali Gulzari, Atif Shakeel

引用次数: 1

Accuracy of endoscopic capsule localization using position bounds on smoothed path loss based WCL 基于WCL的平滑路径损失的位置边界内镜囊定位精度

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120673

Umma Hany, L. Akter

{"title":"Accuracy of endoscopic capsule localization using position bounds on smoothed path loss based WCL","authors":"Umma Hany, L. Akter","doi":"10.1109/ICSIPA.2017.8120673","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120673","url":null,"abstract":"Accurate localization of Wireless video capsule endoscope (VCE) is a crucial requirement for proper diagnosis of intestinal abnormalities. A major challenge in RF based localization is the shadow fading and multi-path propagation effects of non-homogeneous medium of human body which causes high random deviations in the measured path loss resulting in high localization error. To address the randomness issue of the scattered path loss, we propose Savitzky-Golay filtering to estimate the smoothed path loss. Then we estimate the positions of the moving capsule using weighted centroid localization (WCL) algorithm by finding the weighted average of the sensor's position. We compute the weight of the sensor receivers position using degree based estimated smoothed path loss. Finally, we propose two position bounds on the estimated positions to improve the accuracy of localization and verify the accuracy using different performance metrics. To validate our proposed algorithm, we develop a simulation platform using MATLAB and observe significant improvement over the literature using our proposed position bounded smoothed path loss based WCL without any prior knowledge of channel parameters or distance.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124835576","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: 5

Speeded up surveillance video indexing and retrieval using abstraction 利用抽象技术提高监控视频的索引和检索速度

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120639

F. F. Chamasemani, L. S. Affendey, N. Mustapha, F. Khalid

引用次数: 2

OKWW filter for poisson noise removal in low-light condition digital image 用于弱光条件下数字图像泊松噪声去除的OKWW滤波器

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120632

S. Sari, Y. Y. Chia, M. N. Mohd, N. Taujuddin, Nabilah Ibrahim, H. Roslan

引用次数: 1

Modification of canny edge detection for coral reef components estimation distribution from underwater video transect 基于canny边缘检测的水下视频样带珊瑚礁成分估计分布改进

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120646

E. A. Awalludin, M. S. Hitam, W. Yussof, Z. Bachok

引用次数: 3

Noise reduction and enhancement of contour for median nerve detection in ultrasonic image 超声图像中正中神经检测轮廓的降噪与增强

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120633

K. Katayama, K. Shibata, Y. Horita

引用次数: 1

Learning visual object and word association 学习视觉对象和单词联想

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120577

Yie-Tarng Chen, Ting-Zhi Wang, Wen-Hsien Fang, Didik Purwanto

引用次数: 0

Unsupervised segmentation of action segments in egocentric videos using gaze 基于注视的自我中心视频动作片段的无监督分割

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120635

I. Hipiny, Hamimah Ujir, Jacey-Lynn Minoi, Sarah Flora Samson Juan, M. A. Khairuddin, M. Sunar

引用次数: 3