{"title":"Evaluation of the parameters of spectral subtraction techniques and its effects on speech signal quality","authors":"H. Carvajal, N. García","doi":"10.1109/STSIVA.2013.6644918","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644918","url":null,"abstract":"This article presents the results of tests conducted to evaluate various versions of the spectral subtraction technique. Brief descriptions of the versions of the techniques evaluated and the measures used to evaluate them are given. The tests were conducted using a set of signals, containing voices of male speakers, that were contaminated with white gaussian noise at different levels of contamination. A relation between the quality of the signals treated with some of the versions of the technique, and the value of the oversubtraction and spectral floor parameter, used on this versions, was observed in the results. The results show that an increase of the oversubtraction parameter, used to enhance the effect of the technique on the intelligibility of the speech signal, deteriorates the quality of the signals. Intellibility was evaluated using the Articulation Index while the quality was evaluated using the Itakura-Saito Distance and the Log-Likehood-Ratio.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130254226","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":"ECG signal analysis using temporary dynamic sequence alignment","authors":"V. Molina, Gerardo Ceballos, Hermann Dávila","doi":"10.1109/STSIVA.2013.6644910","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644910","url":null,"abstract":"This paper shows a feature extraction method for electrocardiographic signals (ECG) based on dynamic programming algorithms. Specifically, we apply local alignment technique for recognition of template in continuous ECG signal. First, we code the signal to characters in base of sign and magnitude of first derivative, then we apply local alignment algorithm to search a complex PQRST template in target continuous ECG signal. Finally, we arrange the data for direct measurement of morphological features in all PQRST segment detected. To validate these algorithms, we contrast it with conventional analysis making measurement of QT segments in MIT's data base1. We obtain processing time at least a hundred times lower than those obtained by conventional manual analysis and error rates in QT measurement below 5%. The automated massive analysis of ECG presented in this work is suitable for posprocessing methods such as datamining, classification and assisted diagnosis of cardiac pathologies.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114165457","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}
Kevin Estupinan Roldan, M. A. Piedrahita, Hernan Dario Benitez
{"title":"Design and implementation of a protocol for acquisition and processing of infrared images obtained from hands","authors":"Kevin Estupinan Roldan, M. A. Piedrahita, Hernan Dario Benitez","doi":"10.1109/STSIVA.2013.6644944","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644944","url":null,"abstract":"Disorders associated with repeated trauma account for about 60% of all occupational illnesses, being Carpal Tunnel Syndrome (CTS), the most consulted today. Infrared Thermography (IT) has come to play an important role in the field of medicine, where diseases are detected by temperature variations. In this paper we present the extraction of temperature variations in space and time from hands of healthy and ill subjects with CTS. These features are expected to give support to the analysis of CTS using IT. The paper presents a theoretical framework of CTS, a protocol to acquire infrared images and create a standardized collection. The techniques used for image registration and feature extraction are included. Finally, the results obtained with representative features in images of healthy subjects are presented and compared against features extracted from patientss with CTS.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124188825","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}
T. Villa-Cañas, J. Orozco-Arroyave, J. D. Arias-Londoño, J. Vargas-Bonilla, J. Godino-Llorente
{"title":"Automatic assessment of voice signals according to the GRBAS scale using modulation spectra, Mel frequency Cepstral Coefficients and Noise parameters","authors":"T. Villa-Cañas, J. Orozco-Arroyave, J. D. Arias-Londoño, J. Vargas-Bonilla, J. Godino-Llorente","doi":"10.1109/STSIVA.2013.6644930","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644930","url":null,"abstract":"This paper presents a system for the automatic assessment of voice quality, according to the GRBAS scale, which considers different speech measures. The set of features includes the centroids and the energy content of different frequency bands in the modulation spectra of the recordings, Mel-frequency Cepstral Coefficients, Harmonics to Noise Ratio, Normalizes Noise Energy and Glottal to Noise Excitation Ratio. Additionally, with the aim of eliminate possible redundance in the information provided by the features, two different feature extraction techniques are applied, Principal Component Analysis and Linear Discriminant Analysis. The multiclass classification is done by means of K Nearest Neighbors classifier. The performance of the system is measured in terms of efficiency and statistical agreement index Kappa. The results show that this approach provides acceptable results for this purpose, with the best efficiency around 89.3% for Asthenia (A).","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116328041","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":"Image processing and correction of the apparent broadening of species concentration profiles in laminar counterflow flames","authors":"D. Alviso, J. Rolón, P. Scouflaire, N. Darabiha","doi":"10.1109/STSIVA.2013.6644907","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644907","url":null,"abstract":"This work study the influence of the light refraction in the apparent broadening of species experimental profiles in counterflow premixed flames. In fact, in a counterflow premixed flame, is generated a layered medium by the temperature gradient which induces a change in the milieu refractive index, causing a deviation of rays emitted by each point of the flame, and therefore producing a broadening of species experimental profiles. The Gladstone-Dale relation was used to estimate the medium refractive index along the burner axis, taking into account the gas density and composition. And then Snell's law for an inhomogeneous medium was used in order to estimate the light refraction, due to the variation of the medium refractive index. As it will be shown, for counterflow premixed flames, the light refraction is negligible, due to the low variation of the medium refractive index along the counterflow burner. However, the same procedure described here can be used to study the light refraction in other experimental configurations, where the medium refractive index varies considerably.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127030992","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}
C. Bedoya, Daniel Estrada, S. Trujillo, N. Trujillo, David A. Pineda, J. López
{"title":"Automatic component rejection based on fuzzy clustering for noise reduction in electroencephalographic signals","authors":"C. Bedoya, Daniel Estrada, S. Trujillo, N. Trujillo, David A. Pineda, J. López","doi":"10.1109/STSIVA.2013.6644922","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644922","url":null,"abstract":"Among the techniques for measuring brain response, Electroencephalography (EEG) remains as the most popular for acquiring electrical brain activity over time. Currently, Event Related Potentials (ERPs) are used to detect electrophysiological responses of the brain due to a stimulus. They are usually measured by EEG due to its high temporal resolution and minimal invasiveness of the procedure. Nevertheless, EEG is well known for its high noise levels. Artifact noise (Muscular movement) is the most common and non-desired source of noise in EEG. There are basically two different ways of reducing it: (i) Suppressing the time windows with artifacts (manually). (ii) Using noise estimation algorithms to remove non-deterministic components produced by artifacts in the signal. Typically; those algorithms are based on Independent Component Analysis (ICA). However, ICA requires performing component rejection by qualified medical personnel using visual inspection, i.e., they are dependent of trained personnel for performing visual artifact or component rejection. In this manuscript a new approach for automatic component rejection based on fuzzy clustering is proposed. It considers the contributions of all components in order to remove those with non-desired elements. The proposed approach supports the decision-making procedure imitating the human learning process. It does not require the number of classes as input parameter as most of the based fuzzy clustering classification methodologies, and estimates the similarity among data leading to a non-iterative process.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829011","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}