Exploring Non-linear Transformations for an Entropybased Voice Activity Detector

In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD). The idea of using a non-linear transformation comes from some previous work done in speech linear prediction (LPC) field based in source separation techniques, where the score function was added into the classical equations in order to take into account the real distribution of the signal. We explore the possibility of estimating the entropy of frames after calculating its score function, instead of using original frames. We observe that if signal is clean, estimated entropy is essentially the same; but if signal is noisy transformed frames (with score function) are able to give different entropy if the frame is voiced against unvoiced ones. Experimental results show that this fact permits to detect voice activity under high noise, where simple entropy method fails.

Étude comparative de la morphologie du plancher pelvien des femmes âgées continentes et avec incontinence urinaire

But: Cette étude a pour but de comparer : a)la morphologie du plancher pelvien (PP), du col vésical et du sphincter urogénital strié (SUS) par IRM et b) la fonction du PP par palpation digitale (PERFECT scheme) chez les femmes âgées continentes ou avec incontinence urinaire à l’effort (IUE) et mixte (IUM). Méthode: Les femmes ont appris à contracter correctement leur PP et la fonction de leur PP a été évaluée. Une séance d’IRM dynamique 3T a suivi. Résultats: 66 femmes ont participé à l’étude. Les groupes étaient similaires en âge, IMC, nombre d’accouchements vaginaux et d’hystérectomie. La validité et la fidélité des différentes mesures anatomiques utilisées ont été confirmées au début de cette étude. Afin de contrôler l’effet potentiel de la taille du bassin sur les autres paramètres, les femmes ont été appariées par la longueur de leur inlet pelvien. Les femmes avec IUM ont un PP plus bas et un support des organes pelviens plus faible, selon leurs ligne M, angle LPC/Ligne H et hauteur de la jonction urétro-vésicale (UV). Les femmes avec IUE ont un PP similaire à celui des continentes, mais présentent plus d’ouverture du col vésical et un angle UV postérieur plus large au repos que les autres groupes. Il n’y a aucune différence de morphologie du SUS entre les groupes. De plus, selon les résultats du PERFECT scheme, les femmes avec IU ont une force du PP plus faible que les continentes. Les femmes avec IUM montrent aussi une faible élévation des muscles du PP à la contraction. Les femmes avec IUE ont, quant à elle, un problème de coordination à la toux. Conclusion: Les déficits causant l’IUE et l’IUM sont différents, mais supportent tous le rationnel des exercices du PP pour le traitement de l’IUE et l’IUM. Ces résultats supportent le besoin de traitements de rééducation spécifiques aux déficits de chacun des types d’IU.

Lipoprotein-associated phospholipase A2 (Lp-PLA2) in acute coronary syndrome

La phospholipase A2 liée aux lipoprotéines (Lp-PLA2) est une biomarqueur de plusieurs maladies inflammatoires et une niveau sérique élevé est associé à l’instabilité de la plaque artérioscléreuse. Comme son nom l’indique, la Lp-PLA2 est liée aux lipoprotéines plasmatiques (LDL et HDL) et son rôle est de prévenir l’accumulation de phospholipides oxidés a la surface des lipoprotéines. Toutefois, les produits de dégradation des phospholipides oxidés par la Lp-PLA2 - le lysophosphatidyl choline par les acides gras oxidés peuvent aussi promouvoir l’inflammation. Mieux comprendre le métabolisme de la Lp-PLA2 pourrait nous permettre de mieux apprécier son rôle dans la formation d’une plaque artérioscléreuse instable, car des études antérieures ont démontré une forte expression de la Lp-PLA2 dans la plaque. De plus, il existe une forte corrélation entre les niveaux et l’activité plasmatiques de la Lp-PLA2 et la maladie coronarienne, les accidents cérébraux-vasculaires et la mortalité cardiaque. L’inhibition de la Lp-PLA2 avec une petite molécule, le darapladib, n’a pas démontré de bénéfice sur les évènements cardiovasculaires dans deux études cliniques. Cette thèse présentera d’abord une revue de la littérature sur la Lp-PLA2 et les maladies cardiovasculaires et les deuxième et troisième chapitres, une étude clinique réalisée sur des patients avec un syndrome coronarien aigu.

Feature Extraction Methods Based on Linear Predictive Coding and Wavelet Packet Decomposition for Recognizing Spoken Words in Malayalam

Speech signals are one of the most important means of communication among the human beings. In this paper, a comparative study of two feature extraction techniques are carried out for recognizing speaker independent spoken isolated words. First one is a hybrid approach with Linear Predictive Coding (LPC) and Artificial Neural Networks (ANN) and the second method uses a combination of Wavelet Packet Decomposition (WPD) and Artificial Neural Networks. Voice signals are sampled directly from the microphone and then they are processed using these two techniques for extracting the features. Words from Malayalam, one of the four major Dravidian languages of southern India are chosen for recognition. Training, testing and pattern recognition are performed using Artificial Neural Networks. Back propagation method is used to train the ANN. The proposed method is implemented for 50 speakers uttering 20 isolated words each. Both the methods produce good recognition accuracy. But Wavelet Packet Decomposition is found to be more suitable for recognizing speech because of its multi-resolution characteristics and efficient time frequency localizations

Developing a Child Friendly Text-to-Speech System

This paper discusses the implementation details of a child friendly, good quality, English text-to-speech (TTS) system that is phoneme-based, concatenative, easy to set up and use with little memory. Direct waveform concatenation and linear prediction coding (LPC) are used. Most existing TTS systems are unit-selection based, which use standard speech databases available in neutral adult voices.Here reduced memory is achieved by the concatenation of phonemes and by replacing phonetic wave files with their LPC coefficients. Linguistic analysis was used to reduce the algorithmic complexity instead of signal processing techniques. Sufficient degree of customization and generalization catering to the needs of the child user had been included through the provision for vocabulary and voice selection to suit the requisites of the child. Prosody had also been incorporated. This inexpensive TTS systemwas implemented inMATLAB, with the synthesis presented by means of a graphical user interface (GUI), thus making it child friendly. This can be used not only as an interesting language learning aid for the normal child but it also serves as a speech aid to the vocally disabled child. The quality of the synthesized speech was evaluated using the mean opinion score (MOS).

A Hybrid Architecture for Recognising Speech Signals in Malayalam

Speech is the primary, most prominent and convenient means of communication in audible language. Through speech, people can express their thoughts, feelings or perceptions by the articulation of words. Human speech is a complex signal which is non stationary in nature. It consists of immensely rich information about the words spoken, accent, attitude of the speaker, expression, intention, sex, emotion as well as style. The main objective of Automatic Speech Recognition (ASR) is to identify whatever people speak by means of computer algorithms. This enables people to communicate with a computer in a natural spoken language. Automatic recognition of speech by machines has been one of the most exciting, significant and challenging areas of research in the field of signal processing over the past five to six decades. Despite the developments and intensive research done in this area, the performance of ASR is still lower than that of speech recognition by humans and is yet to achieve a completely reliable performance level. The main objective of this thesis is to develop an efficient speech recognition system for recognising speaker independent isolated words in Malayalam.

Estudio teórico-empírico sobre la validez del modelo de la contingencia de Fiedler en el campo educativo.

Validar el modelo de Fiedler y utilizarlo para comprender a través de la relación existente entre liderazgo y educación. Se miden una serie de variables relevantes para la educación y la satisfacción grupal. 220 alumnos y 20 profesores. Son seleccionados entre 860, bajo criterios de sexo, edad, nivel académico y nivel social; todos pertenecientes a 6 colegios de EGB de Granada. Se utiliza un diseño factorial mixto con tres variables, la última de ellas con medidas repetidas. Las variables han sido: favorabilidad situacional, estilo motivación del lider y estructuración de la tarea. Las variables dependientes ha sido el rendimiento escolar del grupo experimental. Escala LPC de Fiedler (1967), escala de Hunt, test sociométrico de Moreno, 3 tests de pruebas estructurados sobre rendimiento en Ciencias Sociales, Naturaleza y Filología, 2 tests de pruebas sin estructurar, en Naturaleza y Filología. Media aritmética, desviación típica, asimetría, curtasis, correlacion lineal de Pearson, coeficiente de correlación múltiple, coeficiente de correlación parcial, ANOVA. La teoría de Fiedler es demasiado ambiciosa, por lo que presenta problemas metodológicos y teóricos. Nuestras hipótesis son positivas, el modelo de contingencia sigue siendo útil para comprender el proceso de liderazgo, aunque debe ser matizado en las circunstancias concretas del grupo y área investigada. El modelo necesita ser perfeccionado, introduciendo las variables relevantes en nuestro trabajo y otras características psicológicas y ambientales; tampoco debemos olvidar las variables cognitivas. No existe un estilo directivo que sea el mejor, ya que no hay ninguno apropiado a todas las situaciones. La experiencia es favorable en profesores motivados por las relaciones interpersonales, no por la tarea. Instruir a los profesores para que modifiquen su grupo de trabajo para que se adecúe a su estilo de dirección. Es necesario que los programas escolares incluyan aspectos del ambiente donde se va a desarrollar la educación, y que las Escuelas de Magisterio formen profesores en relación al lugar donde van a desarrollar su actividad profesional. El rendimiento depende de factores situacionales, motivacionales del director, profesor, y de características de los alumnos, familiares, sociales, etc..

Desarrollo lingüístico de un caso de sordera prelocutiva más trastorno por déficit atencional (TDAH).

Resumen en inglés

Condiciones de adquisición de la lectura en el niño sordo.

La publicación recoge resumen en Inglés

Los multimedias y los sistemas aumentativos de comunicación.

Resumen basado en el de la publicación

Avbrottsstyrd hexkodsmonitor : Programmering av MikroprocessorPhilips LPC2292

Research Elektronics är ett företag som utvecklar elektroniska system. I sinalösningar använder de bl.a. Siemens C500 Mikroprocessorer. Företagetplanerar nu att gå över till Philips LPC 2292 som bygger på en 32-bitarsARM-kärna. Denna mikroprocessor har högre prestanda och är merkostnadseffektiv.Uppgiften bestod av att göra ett monitorprogram som bl.a. kan ladda in ochköra andra program i mikroprocessorn samt undersöka och redigerainnehållet i minnen och register. Programmet ska användas till test ochutveckling av andra program till den aktuella mikroprocessorn. Tanken meddenna monitor är att den ska ha liknande funktion och utseendet som enmonitor som Research redan använder för mikroprocessorn Siemens c500serie, för att dessa ska kunna gå över till att använda den nyamikroprocessorn på samma sätt som den nuvarande.Tanken med programmet är att det ska vara en grund som Research senareska kunna modifiera och utveckla under deras arbete. Programmet harskrivits i assembler för att programmera nära hårdvaran. Resultatet blev ettprogram med de funktioner som i förväg var bestämda.

Speech Assessment for the Classification of Hypokinetic Dysthria in Parkinson Disease

The aim of this thesis is to investigate computerized voice assessment methods to classify between the normal and Dysarthric speech signals. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of inter-stress intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. Band pass filter has been used for the preprocessing of speech samples. Speech segmentation is performed using signal energy and spectral centroid to separate voiced and unvoiced areas in speech signal. Acoustic features are extracted from the LPC model and speech segments from each audio signal to find the anomalies. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), and Shimmer (APQ). Naïve Bayes (NB) has been used for speech classification. For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB. The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale.

Effects of simvastatin in abdominal sepsis in rats

Statins are widely recognized as hypolipemic drugs, but some studies have observed anti-inflammatory and immunomodulatory effects, known as pleiotropic. The aims of this work was to study possible anti-inflammatory effects of simvastatin in abdominal sepsis. Serum pro-inflammatory cytokines and leukocytes count were determined in an experimental model of abdominal sepsis, using cecal ligation and puncture (CLP) in rats. Methods: Twenty eigth Wistar rats weighing 285±12g were randomly divided in: CLP/Sinvastatin rats (n=7), treated with 10 mg/Kg of oral simvastatin 18 and 2 hs berofe CLP; CLP/Saline group rats (n=7), treated with oral saline; group Sham/Simvastatin (n=7), treated with simvastatin, and group Sham/Saline (n=7), treated with saline. Serum TNF-α, IL-1β and IL-6 by ELISA and total leukocytes, neutrophils, lymphocytes, and eosinophils were determined 24 hs after CLP. ANOVA and Tukey test were used considering significant p<0.05. Results: It was demonstrated that serum TNF-α, IL-1β and IL-6 were respectively 364,8±42pg/mL; 46,3±18pg/mL and 28,4±13pg/mL in CLP/Sinvastatin rats, significantly lower (p<0.05) than in group CLP/Saline (778,5±86pg/ml; 176,9±46pg/ ml; 133,6±21 pg/ml, respectively). The same results were observed in total leukocytes and neutrophils counts. Conclusion: These results clearly demonstrate that simvastatin is an effective agent that reduces cytokines levels and leukocyte count in sepsis, independently of its well-known lipid-lowering effects. Thus, HMG-CoA reductase inhibitors like simvastatin have important anti-inflammatory effects in abdominal sepsis in rats

Sistema inteligente para diagnóstico de patologias na laringe utilizando máquinas de vetor de suporte

The human voice is an important communication tool and any disorder of the voice can have profound implications for social and professional life of an individual. Techniques of digital signal processing have been used by acoustic analysis of vocal disorders caused by pathologies in the larynx, due to its simplicity and noninvasive nature. This work deals with the acoustic analysis of voice signals affected by pathologies in the larynx, specifically, edema, and nodules on the vocal folds. The purpose of this work is to develop a classification system of voices to help pre-diagnosis of pathologies in the larynx, as well as monitoring pharmacological treatments and after surgery. Linear Prediction Coefficients (LPC), Mel Frequency cepstral coefficients (MFCC) and the coefficients obtained through the Wavelet Packet Transform (WPT) are applied to extract relevant characteristics of the voice signal. For the classification task is used the Support Vector Machine (SVM), which aims to build optimal hyperplanes that maximize the margin of separation between the classes involved. The hyperplane generated is determined by the support vectors, which are subsets of points in these classes. According to the database used in this work, the results showed a good performance, with a hit rate of 98.46% for classification of normal and pathological voices in general, and 98.75% in the classification of diseases together: edema and nodules

Influence of alkaline extraction on the characteristics of humic substances in Brazilian soils

An investigation was made of the influence of alkaline extraction on the characteristics of humic substances extracted from Brazilian soil samples. Humic substances (HS) from seven different soils samples collected in Brazil were extracted using the procedure recommended by the International Humic Substances Society (IHSS). Soils, HS and humins were characterized by thermogravimetry and differential thermal analysis. About 8 mg of each material (soil, HS and humin) were placed in a platinum crucible and heated continuously from 20 to 750 degrees C at a heating rate of 10 degrees C min(-1) in an atmosphere of synthetic air (100 ml min(-1)). A thermal analysis revealed a difference between the content and structural characteristics of organic matter present in HS and humin fractions in relation to their soils. The results indicated that alkaline extraction alters the characteristics of humic substances during the extraction process, underlining the importance of developing methodologies and analytical procedures that allow organic matter in soils to be studied without extracting it. (c) 2005 Elsevier B.V. All rights reserved.