{"title":"Graph-based bayesian approach for transient interference suppression","authors":"R. Talmon, I. Cohen, S. Gannot, R. Coifman","doi":"10.5281/ZENODO.43433","DOIUrl":"https://doi.org/10.5281/ZENODO.43433","url":null,"abstract":"In this paper, we present a method for transient interference suppression. The main idea is to learn the intrinsic geometric structure of the transients instead of relying on estimates of noise statistics. The transient interference structure is captured via a parametrization of a graph constructed from the measurements. This parametrization is viewed as an empirical model for transients and is used for building a filter that extracts transients from noisy speech. We present a model-based supervised algorithm, in which the graph-based empirical model is constructed in advance from training recordings, and then extended to new incoming measurements. This paper extends previous studies and presents a new Bayesian approach for empirical model extension that takes into account both the structure of the transients as well as the dynamics of speech signals.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"39 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117246720","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}
José Portêlo, B. Raj, P. Boufounos, I. Trancoso, A. Abad
{"title":"Speaker verification using Secure Binary Embeddings","authors":"José Portêlo, B. Raj, P. Boufounos, I. Trancoso, A. Abad","doi":"10.5281/ZENODO.43432","DOIUrl":"https://doi.org/10.5281/ZENODO.43432","url":null,"abstract":"This paper addresses privacy concerns in voice biometrics. Conventional remote speaker verification systems rely on the system to have access to the user's recordings, or features derived from them, and also a model of the user's voice. In the proposed approach, the system has access to none of them. The supervectors extracted from the user's recordings are transformed to bit strings in a way that allows the computation of approximate distances, instead of exact ones. The key to the transformation uses a hashing scheme known as Secure Binary Embeddings. An SVM classifier with a modified kernel operates on the hashes. This allows speaker verification to be performed without exposing speaker data. Experiments showed that the secure system yielded similar results as its non-private counterpart. The approach may be extended to other types of biometric authentication.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115344993","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}
S. Ranoeliarivao, F. D. Morsier, D. Tuia, S. Rakotoniaina, M. Borgeaud, J. Thiran, S. Rakotondraompiana
{"title":"Multisource clustering of remote sensing images with Entropy-based Dempster-Shafer fusion","authors":"S. Ranoeliarivao, F. D. Morsier, D. Tuia, S. Rakotoniaina, M. Borgeaud, J. Thiran, S. Rakotondraompiana","doi":"10.5281/ZENODO.43368","DOIUrl":"https://doi.org/10.5281/ZENODO.43368","url":null,"abstract":"In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster-Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignorance, imprecision and conflict between them. To do so, it attributes evidences (weights) to different hypothesis representing single or unions of classes. We introduce a fully unsupervised evidence assignment strategy exploiting the entropy among cluster memberships. Ambiguous pixels get stronger evidences for union of classes to better represent the uncertainty among them. On two multisource experiments, the proposed Entropy-based Dempster-Shafer (EDS) performs best along the different fusion methods with VHR images, when the single class accuracies from each source are complementary and one of the sources shows low overall accuracy.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115457815","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":"Tracking with asynchronous binary readings and layout information in RFID systems with sense-a-tags","authors":"Li Geng, M. Bugallo, P. Djurić","doi":"10.5281/ZENODO.43721","DOIUrl":"https://doi.org/10.5281/ZENODO.43721","url":null,"abstract":"This paper addresses the problem of real-time indoor tracking of tagged objects in Ultra High Frequency Radio Frequency IDentification (RFID) systems with layout information and asynchronous readings. The method is based on binary detections and the model for the probability of detection is a function of both distance and angle between a tag and a reader and accounts for the possibility of a tag being in a dead-zone. A newly developed RFID component, called sense-a-tag, is used to improve the tracking performance, especially in areas with intersections and at portals, where the estimation of the direction of movement is important. A multi-hypothesis particle filtering method is applied for the tracking and its performance is demonstrated by computer simulations.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123631501","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":"High-quality self-embedding for JPEG-compressed digital images","authors":"Pawel Korus, Jaroslaw Bialas, A. Dziech","doi":"10.5281/ZENODO.43582","DOIUrl":"https://doi.org/10.5281/ZENODO.43582","url":null,"abstract":"This paper deals with the design of a self-embedding scheme for JPEG-compressed images. Most of existing schemes are compatible only with loss-less images. Few of them are capable of handling lossy compression, but deliver very low restoration fidelity, and support only small amounts of tampered content. In this study, we extend a recently proposed self-embedding model, and perform theoretical analysis of the impact of watermark extraction and block classification errors on the achievable reconstruction performance. The theoretical results are verified experimentally with a new scheme dedicated to JPEG. Our scheme achieves the average reconstruction quality between 28 dB and 33 dB, for the maximum allowed tampering rates of 50% and 20%, respectively.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122062275","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":"Primary emitter localization using smartly initialized Metropolis-Hastings algorithm","authors":"Suzan Ureten, A. Yongaçoğlu, E. Petriu","doi":"10.5281/ZENODO.43736","DOIUrl":"https://doi.org/10.5281/ZENODO.43736","url":null,"abstract":"The knowledge of the primary emitter location is important in cognitive radio networks as it is required to determine the exclusion region of the primary network. We show that interpolation based localization techniques do not provide accurate primary emitter localization; however they can provide significant complexity reduction when their estimates are used to initialize more accurate iterative localization techniques. In this paper, we generated interference maps using low complexity interpolation techniques and provided their coarse estimates to initialize a Metropolis-Hastings (MH)based localization algorithm. Our simulation results show that smart initialization of the MH algorithm eliminates tedious parameter tuning process and achieves significantly better localization performance than randomly initialized MH algorithm at a fraction of iterations.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114074487","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":"Analysis of vowel deletion in continuous speech","authors":"R. G. Brunet, H. Murthy","doi":"10.5281/ZENODO.43725","DOIUrl":"https://doi.org/10.5281/ZENODO.43725","url":null,"abstract":"Accurate transcription of the utterances during training is critical for recognition performance. The inherent properties of continuous/spontaneous speech across speakers, such as variation in pronunciation, poorly emphasized or over stressed words/sub-word units can lead to misalignment of the waveform at the sub-word unit level. The misalignment is caused by the deviation of the pronunciation from that defined by the pronunciation lexicon. This leads to insertion/deletion of subword units. This is primarily because the transcription is not specific to utterances. In this paper, an attempt is made to correct the transcription at the sub-word unit level using acoustic cues that are available in the waveform. Using sentence-level transcriptions, the transcription of a word is corrected in terms of the phonemes that make up the word. In particular, it is observed that vowels are either inserted or deleted. To support the proposed argument, mispronunciations in continuous speech are substantiated using signal processing and machine learning tools. An automatic data driven annotator exploiting the inferences drawn from the study is used to correct transcription errors. The results show that corrected pronunciations lead to higher likelihood for train utterances in the TIMIT corpus.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125111258","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":"Estimation of pressure drop in pediatric endotracheal tubes during HFPV","authors":"M. Ajčević, P. Accardo, E. Fornasa, U. Lucangelo","doi":"10.5281/ZENODO.43539","DOIUrl":"https://doi.org/10.5281/ZENODO.43539","url":null,"abstract":"High-frequency percussive ventilation (HFPV) is a ventilation modality which has been proved useful as an alternative to conventional mechanical ventilation. In clinical practice the ventilator measures the pressure that represents the sum of the pressure drop due to the endotracheal tube (ΔPEET) and the pressure dissipated to inflate lung. From the clinical point of view, it is of paramount importance to estimate the real amount of ΔPEET.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259482","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":"Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data","authors":"P. Honeine, H. Lantéri, C. Richard","doi":"10.5281/ZENODO.43534","DOIUrl":"https://doi.org/10.5281/ZENODO.43534","url":null,"abstract":"The estimation of fractional abundances under physical constraints is a fundamental problem in hyperspectral data processing. In this paper, we propose to adapt Kaczmarz's cyclic projections to solve this problem. The main contribution of this work is two-fold: On the one hand, we show that the non-negativity and the sum-to-one constraints can be easily imposed in Kaczmarz's cyclic projections, and on the second hand, we illustrate that these constraints are advantageous in the convergence behavior of the algorithm. To this end, we derive theoretical results on the convergence performance, both in the noiseless case and in the case of noisy data. Experimental results show the relevance of the proposed method.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240165","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}
R. Perenon, E. Sage, A. Mohammad-Djafari, L. Duraffourg, S. Hentz, A. Brenac, R. Morel, P. Grangeat
{"title":"Bayesian inversion of multi-mode NEMS mass spectrometry signal","authors":"R. Perenon, E. Sage, A. Mohammad-Djafari, L. Duraffourg, S. Hentz, A. Brenac, R. Morel, P. Grangeat","doi":"10.5281/ZENODO.43398","DOIUrl":"https://doi.org/10.5281/ZENODO.43398","url":null,"abstract":"Nano ElectroMechanical Systems are a new class of sensors that offers high sensitivity and opens new perspectives in the mass spectrometry field. This acquisition is performed in counting-mode, and the main tasks of associated information processing are to detect the molecules, to quantify their respective mass and to combine this information in order to recover the mass spectrum of the analysed solution. We propose a joint detection-quantification method based on a hierarchical description of the measurement system. Computation is done using a Reversible Jumps Monte-Carlo Markov-Chain algorithm. The approach we are describing in this communication solves the two problems of the joint impulse deconvolution on multiple output signals (multi-mode acquisition) and the non-linear relation between the observed signals and the mass of molecules, including the localization of the molecules on the sensor. We validate our method on both simulated and experimental data.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128233842","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}