{"title":"Impact of Pitch Frequency on Speaker Identification","authors":"O. Eskidere, F. Ertas","doi":"10.1109/SIU.2007.4298591","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298591","url":null,"abstract":"In this paper, the impact of pitch frequency on speaker identification using Gaussian mixture model has been investigated employing clean speech (TIMIT) and telephone speech (NTIMIT) databases. Pitch frequency, as directly related to human vocal tract, may also be used as a speaker discriminating feature in noisy environments, such as telephone lines. Although the performance of pitch frequency alone is poor on telephone speech, it provides %8.34 enhancement in identification performance when used in combination with mel-frequency cepstral coefficients (mfee).","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711262","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":"Cooperative Balanced Space-Time Block Codes for Relay Networks","authors":"A. Eksim, M. Çelebi","doi":"10.1109/SIU.2007.4298836","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298836","url":null,"abstract":"In this paper, a novel coding method for cooperative relay networks is proposed, which guarantees full diversity for any number of mobile relays with minimal delay, provided that few bits of feedback from the destination to the source and relays are available. As in the case of orthogonal space-time block codes, all transmitted symbols are separately decoded both in the relays and the destination. So, decoding complexity grows linearly. Many of the proposed solutions in the literature are distributed space-time codes which are designed limited number of relays. The proposed scheme has better signal-to-noise ratio improvement with respect to relay selection scheme for N relays present in the wireless system. Moreover, it requires minimal amount of delay. Lastly, the new method satisfies power consumption fairness among relay terminals and requires no knowledge of topology information.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126322918","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":"Model Based and Experimental Investigation of the Heart Rate Response to Inspiratory Hold","authors":"Esra Sengun, Yusuf Ziya Icier","doi":"10.1109/SIU.2007.4298690","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298690","url":null,"abstract":"The goal of this study is experimental and model based investigation of the respiratory effect on heart rate variability (HRV). In this study, the ECG and respiration were recorded from 6 healthy volunteers who were told to hold their breath for 30 seconds. 5 recordings were taken from each volunteer and signal averaging was used. It was observed that HRV changes with oscillatory behavior at around 0.1 Hz and returns approximately to the value before the beginning of breath hold. Moreover, by using the characteristics of actual respiratory signals, the HRV predicted by the Ursino-Magosso model was calculated. The actual HRV and the model predicted HRV were compared in time domain, and were found to be in concordance in general.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128226721","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":"Musical Genre Classification Using Higher-Order Statistics","authors":"N. Avcu, D. Kuntalp, v.A. Alpkocak","doi":"10.1109/SIU.2007.4298681","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298681","url":null,"abstract":"In this study, we examine the effects of higher order statistics of timbral features to improve performance of genre classification. It was seen that the first and second order statistics of the features extracted, in this research, is not as discriminative as the third and forth order statistics of the features. For the purpose of designing a classifier, which could be used for real time applications in future studies, randomly taken 3 second-long segments are used for classification. Out of 225 songs from 3 genres, ISO of them are used for training and 45 of them are used for testing. Five different lists that are created using different train and test sets are used to reduce the dependency of the results to the test set while increasing the number of validation data. Average values of validation test results are compared with the results of the similar works, which are based on MIDI format, using the same data set.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127675490","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":"JPEG Hardware Accelerator Design for FPGA","authors":"Kaan Duman, Fuat Çogun, Levent Oktem","doi":"10.1109/SIU.2007.4298563","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298563","url":null,"abstract":"A fully pipelined JPEG hardware accelerator that runs on FPGA is presented. The accelerator is designed interactively in a simulation environment, using a DSP hardware design automation tool chain. The encoder part of the accelerator accepts 8×8 image blocks in a streaming fashion, and outputs the zigzag-scanned, quantized 2D DCT coefficients of the block. The decoder part accepts zigzag-scanned, quantized DCT coefficients, and outputs reconstructed 8×8 image block. Each part has a throughput of one system clock per pixel per channel. The encoder employs a fast pipelined implementation for 2D DCT (LK.C. Agonstini et al., 2001). For the decoder, a new pipelined 2D IDCT structure is developed. Our IDCT structure is based on an IDCT factorization for software implementation, and is inspired by the pipelined DCT structure employed in the encoder. The resource utilization and maximum frequency figures for a particular FPGA target suggest that our accelerator has competitive performance.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122284274","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":"Noise Reduction in Chaotic Signals by Using Wiener and Kalman Filtering Methods","authors":"E. Qek, O. Oral, O. Akay","doi":"10.1109/SIU.2007.4298691","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298691","url":null,"abstract":"In this paper, the additive white noise was filtered from chaotic signals obtained by logistic map by using Wiener, extended and unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513518","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":"Detection of Partially Occluded Upper Body Pose Using Hidden Markov Model","authors":"N. Adar, Nazmi Alper Kale, S. Canbek, E. Seke","doi":"10.1109/SIU.2007.4298743","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298743","url":null,"abstract":"This paper presents a method that assembles detected human body parts into a upper body human configuration. In the proposed method, six body parts (face, torso, legs and hands) are found by dedicated detectors using support vector machines (SVMs). Next, body configurations are assembled from the detected parts using hidden Markov model (HMM). Utilizing three different HMM with a decision mechanism, partially occluded human upper body poses are successfully assembled. The detection method shows promising results when tested on images from MIT pedestrian database and additional human body pictures.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126846158","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}
M. B. Gulmezoglu, R. Edizkan, S. Ergin, A. Barkana
{"title":"Endpoint Detection of Isolated Words Using Center of Gravity Method","authors":"M. B. Gulmezoglu, R. Edizkan, S. Ergin, A. Barkana","doi":"10.1109/SIU.2007.4298665","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298665","url":null,"abstract":"In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since the CVA method is sensitive to shifts through the time axis, endpoint detection of words is extremely important. For the comparison purpose, one of the well-known endpoint detection methods is also used together with CVA. The recognition rates obtained by using COG and CVA methods for Tl-digit database are greater than those obtained by using other endpoint detection and CVA methods.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733307","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":"LPI Radar Sinyallerinin Ozimge Yaklasimi ile Siniflandirilmasi Classification of LPI Radar Signals via Eigenimage Approach","authors":"Engin Kocaadam, Yacup Ozkcazanc","doi":"10.1109/SIU.2007.4298644","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298644","url":null,"abstract":"Low Probability of Intercept (LPI) Radar signals have the property of wide bandwidth, low peak power to make them difflcult to be detected by Electronic Support Measures (ESM) receivers. In this study, the detection performances of LPI Radar signals with Wigner-Ville Distributions are examined by treating each distribution as an image. The classification can be performed with an image processing algorithm, eigenimage approach over Wigner - Ville Distributions.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127845374","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":"Silhouette Based Gait Recognition","authors":"E. Gedi̇kli̇, M. Ekinci","doi":"10.1109/SIU.2007.4298633","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298633","url":null,"abstract":"This paper presents a approach for gait recognition based on binarized silhouette of a motion object which is represented by distance vectors. The distance vectors are differences between the bounding box and silhouette, and extracted using four projections to silhouette. First, gait cycle estimation is performed based on normalized correlation on the distance vectors. Gait patterns are then extracted by using distance vectors for each projection independently. Then gait patterns are normalized according to dimensions of bounding box and gait cycle. Second, PCA based eigenspace transform is applied to gait patterns and Euclidean distances based supervised pattern classification is finally performed in the lower-dimensional eigenspace for human identification. Experimental results on four databases (CMU MoBo, SOTON, USF, NLPR) show that the proposed approach achieves highly competitive performance with respect to the published gait recognition approaches.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883137","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}