A rule-based grapheme-to-phone converter for TTS systems in european portuguese

In this paper, a linguistically rule-based grapheme-to-phone (G2P) transcription algorithm is described for European Portuguese. A complete set of phonological and phonetic transcription rules regarding the European Portuguese standard variety is presented. This algorithm was implemented and tested by using online newspaper articles. The obtained experimental results gave rise to 98.80% of accuracy rate. Future developments in order to increase this value are foreseen. Our purpose with this work is to develop a module/ tool that can improve synthetic speech naturalness in European Portuguese. Other applications of this system can be expected like language teaching/learning. These results, together with our perspectives of future improvements, have proved the dramatic importance of linguistic knowledge on the development of Text-to-Speech systems (TTS).

An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference

In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.

Adaptive filtering for high quality HMM based speech synthesis

In this work an adaptive filtering scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for Hidden Markov Model (HMM) based speech synthesis quality enhancement. The objective is to improve signal smoothness across HMMs and their related states and to reduce artifacts due to acoustic model's limitations. Both speech and artifacts are modelled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. Themodel parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The quality enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. The system's performance has been evaluated using mean opinion score tests and the proposed technique has led to improved results.

Constraint-based verification of imperative programs

work presented in the context of the European Master’s program in Computational Logic, as the partial requirement for obtaining Master of Science degree in Computational Logic

Type-based protocol conformance and aliasing control in concurrent java programs

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Developing Young Learners’ Logical/Deductive Thinking Skills and Second Language Skills through a CLIL approach

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teaching English as a Second / Foreign Language.

The impacts of the Cape Verde self-employed social security scheme

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Analysable software language translations

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

Sentiment analysis on twitter for the portuguese language

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Child programming: an adequate domain specific language for programming specific robots

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Classificação Internacional de Funcionalidade, Incapacidade e Saúde : uma dimensão do neurodesenvolvimento

RESUMO: Objetivo Principal • Determinar a consistência da utilização dos instrumentos de avaliação da capacidade intelectual – escalas de Griffiths e WISC III – no enquadramento dos domínios e dos qualificadores da CIF-CJ, restrita às funções mentais do corpo. Objetivo secundário: • Estudar a efetividade e concordância inter-observador da aplicação da CIF, com base na leitura dos dados obtidos em avaliação efetuada com os instrumentos referidos, por duas observadoras independentes, em contexto de articulação saúde, respetivamente educação e segurança social Métodos • Estudo observacional, descritivo, transversal e prospetivo. • Foi estudada uma amostra de conveniência 355 crianças, num período de três anos (Maio de 2010 a 30 de Abril de 2013), com patologia da área da pediatria do neurodesenvolvimento (total de 4000 consultas) no Centro de Desenvolvimento (CD) do Hospital de Dona Estefânia (HDE), Centro Hospitalar de Lisboa Central, EPE (CHLC, EPE). • Critérios de inclusão: crianças de ambos os sexos, observadas no CD do HDE, CHLC (primeiras consultas e consultas de reavaliação) com idade ≥12 meses e ≤17 anos e incapacidade intelectual definida de acordo com os critérios da DSM-IV-TR, DSM 5 e CID-10. • Critérios de exclusão: crianças com autismo, perturbações específicas da linguagem, hiperatividade, défice de atenção e concentração, défices sensoriais congénitos (baixa visão e ou audição), ou com outros diagnósticos de perturbações de neurodesenvolvimento. • O estudo teve duas fases: na primeira, a investigadora principal colheu ou atualizou a história clínica, observou clinicamente as crianças solicitando os exames complementares considerados necessários e foi efetuada avaliação psicológica com os instrumentos adiante descritos, pela mesma psicóloga clínica, devidamente credenciada, e com larga experiência nas escalas referidas. Com base nos dados colhidos, quer por observação direta, quer através dos resultados das escalas Griffiths e WISC – III, a investigadora aplicou a CIF-CJ, circunscrita aos domínios e funções (variáveis): 1. FUNÇÕESMENTAIS GLOBAIS (b110- Funções da consciência, b114- Funções da orientação no espaço e no tempo, b117 – Funções intelectuais, b122- Funções psicossociais globais, b125- Funções intrapessoais, b126- Funções do temperamento e da personalidade); 2.FUNÇÕES MENTAIS ESPECÌFICAS (b140- funções da atenção, b147- Funções psicomotoras, b152- Funções emocionais, b156- Funções da perceção, b163- Funções cognitivas básicas, b164- Funções cognitivas de nível superior, b167- Funções mentais da linguagem 3. FUNÇÕES DA VOZ E DA FALA (b320- Funções da articulação, b330- Funções da fluência e do ritmo da fala). Numa segunda fase, foi solicitada a colaboração de duas co-investigadoras, com formação específica nas escalas utilizadas e na CIF-CJ, a aplicação da CIF nos mesmos domínios e funções. Estas observadoras não efetuaram observações diretas das crianças envolvidas. • Para efetuar a análise estatística e analisar a relação entre os qualificadores (0 a 4) das variáveis da CIF em estudo (b117, b122, b147, b163, b164, b167, b320 e b330) e os instrumentos psicométricos (escalas de Griffiths e WISC III), que constitui a primeira parte do estudo, recorreu-se à técnica estatística não paramétrica do coeficiente de correlação de Spearman, que quantifica a intensidade e sinal da eventual correlação existente entre as variáveis em estudo. • Para determinar as correlações referentes à segunda parte do estudo, foram utilizados os programas SPSS®, (IBM SPSS Statistics) e Statistica® (StatSoft, Inc., 2011). STATISTICA (data analysis software system, version 10. www.statsoft.com.), tendo-se dado preferência aos gráficos deste último. Resultados 1. Observou-se um predomínio do sexo masculino (relação de 1:1,9); relativamente à idade no momento de avaliação, 242 crianças (68,1%) tinham entre zero e seis anos e, dentro destas, a maioria (189) situava-se entre os três e os seis anos. 2. De acordo com a DSM-IV e DSM-5, 261 (73,4%) crianças apresentavam incapacidade intelectual ligeira. 3. A avaliação da competência intelectual pelas escalas de Ruth Griffiths e WISC III (QI), revelaram correlação negativa predominantemente forte e muito forte (índice de Spearman) com os qualificadores das funções do corpo estudadas (funções mentais, mentais específicas e da voz). Os resultados obtidos pela co-investigadora A foram sobreponíveis aos da investigadora principal. Os resultados obtidos pela co-investigadora B revelaram correlação negativa moderada e forte, correlação inferior à da investigadora principal; Conclusões Os resultados permitem inferir que as escalas de Ruth Griffiths e WISC-III são instrumentos adequados para caracterizar a incapacidade intelectual na CIF-CJ; a concordância inter-observador, moderada, nos qualificadores atribuídos nas funções em análise pela investigadora e co-investigadoras, permite concluir que as escalas de Ruth Griffiths e WISC IIIl são bons instrumentos para caracterizar os qualificadores nos domínios e funções estudados, por diferentes grupos de profissionais ligados à infância. Subsistem dificuldades na diferenciação entre qualificadores, designadamente entre os qualificadores 1 e 2, o que tem necessariamente implicações na elegibilidade das crianças para os apoios preconizados pelo DL 3/2008. ------------------------ ABSTRACT: Main objective • To determine the consistency of the use of assessment tools for intellectual ability - Griffiths and WISC III scales - in the context of domains and qualifiers for the ICF-CY, restricted to the mental functions of the body. Secondary objective • Studying the effectiveness and inter-observer concordance concerning the application of the ICF, based on the data recovered from the assessment made with the mentioned instruments, carried out by two independent observers including their perspective on health, education and social security. Methods • Observational, descriptive, cross-sectional and prospective study. • A convenience sample of 355 children was studied over a period of three years (May 2010 to April 2013), with a pathology in the area of pediatric neurodevelopment – intellectual disability (total of 4000 consultations, including first consultations and revaluations) were observed in the Development Centre (CD) in Hospital de Dona Estefânia (HDE), Centro Hospitalar de Lisboa Central, EPE (CHLC). • Inclusion criteria: children of both sexes aged ≥12 months and years ≤17 and intellectual disability defined according to the criteria in the DSM-IV-TR, DSM 5 and ICD-10. • Exclusion criteria: children with autism; specific language impairment, hyperactivity; attention deficit disorder; severe birth sensory deficits (eg, impaired vision and hearing); amongst other diagnoses for neurodevelopmental disorders. • The study was conducted in two phases: in the first phase the principal investigator collected or updated medical history, clinically observed children requesting additional investigations if she deemed necessary. Psychological evaluation was performed by a single, duly licensed clinical psychologist with extensive experience in the referred scales using the instruments described below. Based on data collected, either by direct observation or through the results of Griffiths scales and WISC - III, the researcher applied the ICF-CY confined to the following fields and functions (variables): 1. GLOBAL MENTAL FUNCTIONS (b110- functions of consciousness, b114- Functions referring to space and time orientation , b117 - intellectual functions, b122- global psychosocial functions, b125- intrapersonal functions, b126- functions related to temperament and personality); 2. SPECIFIC MENTAL FUNCTIONS ( b140- attention functions, b147-psychomotor functions, b152- Emotional functions, b156- perception functions, b163- basic cognitive functions and cognitive functions b164- top level b167- language related mental functions. ) 3. VOICE AND SPEECH FUNCTIONS (b320-articulation functions, b330- fluency and rhythm of speech functions). • In the second phase, two co-investigators, with specific training on the scales used and the ICF-CY have applied the ICF in the domains and functions mentioned above, based on the scales results. These co-investigators did not make any direct observation of the studied children. • To perform the statistical analysis and analyze the relationship between the qualifiers (0-4) of the variables in the ICF study (b117, b122, b147, B163, B164, b167, b320 and B330) and psychometric instruments (Griffiths scale and WISC III), which is the first part of the study, the statistical technique of non-parametric Spearman correlation coefficient was used, which quantifies the strength and sign of the possible correlation between the variables under study. • For submission of correlations related to the second part of the study, SPSS (IBM SPSS) and Statistica (StatSoft, Inc., 2011) programs were used. STATISTICA (data analysis software system, version 10 www.statsoft.com.). Preference was given to graphs computed in Statistica. Results • Male predominated (ratio of 1: 1.9). 242 children (68.1% of the sample) were aged between zero and six years and, among these, the majority (189) was aged largest number between three and six years. • According to the DSM-IV and DSM-5, 261 (73.4%) children had mild intellectual disability. The correlation between the assessment of intellectual competence by Ruth Griffiths scales and WISC III (QI), was predominantly negative strong and very strong correlation with the qualifiers of body functions studied (specific mental functions, mental and voice functions using Spearman index). The levels of correlation obtained by the co-investigatores were in agreeance with the results from the principal investigator. The results obtained by co-investigator B showed moderate to strong negative correlation, levels that were lower to the those registered by the principal investigator; Conclusions These results indicate that Ruth Griffiths and WISC-III scales are adequate tools to characterize intellectual disability in the ICF-CY; moderate inter-observer agreement in the qualifiers assigned the functions under analysis by the researcher and co-researchers, shows that the scales are also good tools to measure CIF qualifyers by diferent technicians with different professional orientations, related to children. However, there are still difficulties in differentiating qualifiers, namely between qualifiers 1/2 and 3/4, which necessarily has implications for the eligibility of children for the state support advocated by the Portuguese Decret Law 3/2008.

Hand gesture recognition system based in computer vision and machine learning

"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

An immunity based configuration for multilayer single featured biometric authentication algorithms

Immune systems have been used in the last years to inspire approaches for several computational problems. This paper focus on behavioural biometric authentication algorithms’ accuracy enhancement by using them more than once and with different thresholds in order to first simulate the protection provided by the skin and then look for known outside entities, like lymphocytes do. The paper describes the principles that support the application of this approach to Keystroke Dynamics, an authentication biometric technology that decides on the legitimacy of a user based on his typing pattern captured on he enters the username and/or the password and, as a proof of concept, the accuracy levels of one keystroke dynamics algorithm when applied to five legitimate users of a system both in the traditional and in the immune inspired approaches are calculated and the obtained results are compared.

Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data

Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plants resin, but a big challenge for the standardization of the chemical composition and biological effects of propolis remains on a better understanding of the influence of seasonality on the chemical constituents of that raw material. Since propolis quality depends, among other variables, on the local flora which is strongly influenced by (a)biotic factors over the seasons, to unravel the harvest season effect on the propolis chemical profile is an issue of recognized importance. For that, fast, cheap, and robust analytical techniques seem to be the best choice for large scale quality control processes in the most demanding markets, e.g., human health applications. For that, UV-Visible (UV-Vis) scanning spectrophotometry of hydroalcoholic extracts (HE) of seventy-three propolis samples, collected over the seasons in 2014 (summer, spring, autumn, and winter) and 2015 (summer and autumn) in Southern Brazil was adopted. Further machine learning and chemometrics techniques were applied to the UV-Vis dataset aiming to gain insights as to the seasonality effect on the claimed chemical heterogeneity of propolis samples determined by changes in the flora of the geographic region under study. Descriptive and classification models were built following a chemometric approach, i.e. principal component analysis (PCA) and hierarchical clustering analysis (HCA) supported by scripts written in the R language. The UV-Vis profiles associated with chemometric analysis allowed identifying a typical pattern in propolis samples collected in the summer. Importantly, the discrimination based on PCA could be improved by using the dataset of the fingerprint region of phenolic compounds ( = 280-400m), suggesting that besides the biological activities of those secondary metabolites, they also play a relevant role for the discrimination and classification of that complex matrix through bioinformatics tools. Finally, a series of machine learning approaches, e.g., partial least square-discriminant analysis (PLS-DA), k-Nearest Neighbors (kNN), and Decision Trees showed to be complementary to PCA and HCA, allowing to obtain relevant information as to the sample discrimination.