Broad phonetic class definition driven by phone confusions

Intermediate representations between the speech signal and phones may be used to improve discrimination among phones that are often confused. These representations are usually found according to broad phonetic classes, which are defined by a phonetician. This article proposes an alternative data-driven method to generate these classes. Phone confusion information from the analysis of the output of a phone recognition system is used to find clusters at high risk of mutual confusion. A metric is defined to compute the distance between phones. The results, using TIMIT data, show that the proposed confusion-driven phone clustering method is an attractive alternative to the approaches based on human knowledge. A hierarchical classification structure to improve phone recognition is also proposed using a discriminative weight training method. Experiments show improvements in phone recognition on the TIMIT database compared to a baseline system

Análise estática de vigas em materiais compósitos usando computação simbólica

Na presente dissertação estuda-se o comportamento mecânico em vigas construídas em materiais compósitos, abordando diferentes teorias de base. Foram desenvolvidos dois elementos Lagrangeanos de viga-barra, baseados na teoria ao corte de primeira ordem e na teoria ao corte de ordem superior, quadráticos e cúbicos, respectivamente. Os modelos foram implementados na aplicação de computação simbólica MAPLE e comparados com soluções alternativas. Foram realizados estudos em análise estática linear e nesse contexto foi estudada a influência da variação dos ângulos de orientação das fibras e do número de camadas de empilhamento do laminado. Foi iniciado um estudo sobre o comportamento de materiais FGM

Mispronunciation Detection in Children's Reading of Sentences

This work proposes an approach to automatically parse children’s reading of sentences by detecting word pronunciations and extra content, and to classify words as correctly or incorrectly pronounced. This approach can be directly helpful for automatic assessment of reading level or for automatic reading tutors, where a correct reading must be identified. We propose a first segmentation stage to locate candidate word pronunciations based on allowing repetitions and false starts of a word’s syllables. A decoding grammar based solely on syllables allows silence to appear during a word pronunciation. At a second stage, word candidates are classified as mispronounced or not. The feature that best classifies mispronunciations is found to be the log-likelihood ratio between a free phone loop and a word spotting model in the very close vicinity of the candidate segmentation. Additional features are combined in multi-feature models to further improve classification, including: normalizations of the log-likelihood ratio, derivations from phone likelihoods, and Levenshtein distances between the correct pronunciation and recognized phonemes through two phoneme recognition approaches. Results show that most extra events were detected (close to 2% word error rate achieved) and that using automatic segmentation for mispronunciation classification approaches the performance of manual segmentation. Although the log-likelihood ratio from a spotting approach is already a good metric to classify word pronunciations, the combination of additional features provides a relative reduction of the miss rate of 18% (from 34.03% to 27.79% using manual segmentation and from 35.58% to 29.35% using automatic segmentation, at constant 5% false alarm rate).info:eu-repo/semantics/publishedVersio

WORKSHOP NACIONAL “INVESTIGAÇÃO EM OLIVICULTURA E AZEITE - RESULTADOS E APLICAÇÕES

Workshop Nacional “Investigação em Olivicultura e Azeite – Resultados e Aplicações” De 27-06-2013, 09:00 a 28-06-2013 Sala de Conferências do Pólo da Mitra da Universidade de Évora O Workshop Nacional dedicado ao tema “Investigação em Olivicultura e Azeite – Resultados e Aplicações” realizou-se nos dias 27 e 28 de junho de 2013. Pretendeu-se com este evento, dirigido a produtores, técnicos, e todos os interessados, divulgar os resultados obtidos no âmbito de projetos de investigação em curso em Portugal na área da Olivicultura e Azeite, com especial ênfase nas potenciais aplicações e contribuições para o desenvolvimento do setor. As sessões incidiram nos seguintes temas Sistemas e Técnicas Culturais Recursos Genéticos e Melhoramento Proteção Fitossanitária Tecnologia e Qualidade do Azeite Apresentações Tema 1 - Sistemas e Técnicas Culturais Múltiplos olhares sobre a transpiração do olival - Francisco Lúcio dos Santos Gestão de cobertos vegetais de leguminosas anuais de ressementeira natural em olival - Manuel Ângelo Rodrigues Mecanização do Olival - soluções e novos desafios - Arlindo de Almeida Máquina para a Colheita em Contínuo de Azeitona - António Bento Dias Influência de diferentes regimes hídricos no uso e na eficiência do uso da água, produção e qualidade do azeite - Anabela Silva Medidas de prevenção e mitigação dos impactos da seca no olival de sequeiro: efeitos da rega sustentável e de coberturas vegetais - Eunice Bacelar Contribuição do COTR para o uso eficiente da água na rega do olival - Luís Boteta Tema 2 - Recursos Genéticos e Melhoramentos A diversidade genética da mosca-da-azeitona na bacia mediterrânica - Luís Teixeira Evolução dos primeiros estados fenológicos em oliveira - diversidade intervarietal e alterações climáticas - António Cordeiro Variabilidade genética e química - implicações na rastreabilidade de azeites - Paula Lopes Tema 3 - Protecção Fitossanitária A elevada incidência de vírus em olivais nacionais: causas e consequências - Rosário Félix Como proceder para fertilizar racionalmente o olival - Pedro Jordão Avaliação de Genótipos de Olea europaea vs Infecção de Colletotrichum acutatum - Teresa Carvalho Isolamento e seleção de fungos endofíticos da oliveira para luta biológica contra Colletotrichum acutatum e Verticillium dahliae - Paula Batista A utilização de indicadores biológicos como ferramentas para avaliar o impacte de práticas agrícolas na sustentabilidade do olival - Sónia Santos Proteção contra pragas da oliveira: fomento da ação dos inimigos naturais pelo estabelecimento da flora autóctone - Albino Bento Fungos entomopatogénicos em pragas da oliveira: isolamento, caracterização e selecção para controlo biológico - Paula Batista Tema 4 - Tecnologia e Qualidade Redefinição da Denominação de Origem Protegida “Azeite de Trás-os-Montes” e criação da Denominação de Origem Protegida “Azeite do Douro” - Ricardo Malheiro Azeitonas de mesa do nordeste de Portugal - contributo para a sua caraterização e promoção - Nuno Rodrigues ÁCIDOS GORDOS E POLIFENÓIS EM AZEITE VIRGEM - Isabel Baer Influência da rega na produção e qualidade de azeites produzidos em olivais intensivos (cv. Cobrançosa) e em olivais em sebe (cv. Arbequina) - Mariana Mota Efeito do processamento culinário na composição nutricional e química de azeites portugueses - Susana Casal A Arte do Azeite - Ana Carrilho O Azeite Português na Economia Global: Oportunidades e desafios - Teresa Zacarias Comissão Organizadora: Adélia Sousa, Grupo ASC do ICAAM António Bento Dias, Grupo CTV do ICAAM Fernando Rei, Grupo CTV do ICAAM Francisco Lúcio dos Santos, Grupo ASC do ICAAM-coordenador Raquel Garcia, Grupo CTV do ICAAM Renato Coelho, Grupo CTV do ICAAM Joana Perdigão, UDIT-ICAA

ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation

[EN] Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted to the ALBAYZIN QbE STD 2016 Evaluation held as a part of the ALBAYZIN 2016 Evaluation Campaign at the IberSPEECH 2016 conference. Special attention was given to the evaluation design so that a thorough post-analysis of the main results could be carried out. Two different Spanish speech databases, which cover different acoustic and language domains, were used in the evaluation: the MAVIR database, which consists of a set of talks from workshops, and the EPIC database, which consists of a set of European Parliament sessions in Spanish. We present the evaluation design, both databases, the evaluation metric, the systems submitted to the evaluation, the results, and a thorough analysis and discussion. Four different research groups participated in the evaluation, and a total of eight template matching-based systems were submitted. We compare the systems submitted to the evaluation and make an in-depth analysis based on some properties of the spoken queries, such as query length, single-word/multi-word queries, and in-language/out-of-language queries.This work was partially supported by Fundacao para a Ciencia e Tecnologia (FCT) under the projects UID/EEA/50008/2013 (pluriannual funding in the scope of the LETSREAD project) and UID/CEC/50021/2013, and Grant SFRH/BD/97187/2013. Jorge Proenca is supported by the SFRH/BD/97204/2013 FCT Grant. This work was also supported by the Galician Government ('Centro singular de investigacion de Galicia' accreditation 2016-2019 ED431G/01 and the research contract GRC2014/024 (Modalidade: Grupos de Referencia Competitiva 2014)), the European Regional Development Fund (ERDF), the projects "DSSL: Redes Profundas y Modelos de Subespacios para Deteccion y Seguimiento de Locutor, Idioma y Enfermedades Degenerativas a partir de la Voz" (TEC2015-68172-C2-1-P) and the TIN2015-64282-R funded by Ministerio de Economia y Competitividad in Spain, the Spanish Government through the project "TraceThem" (TEC2015-65345-P), and AtlantTIC ED431G/04.Tejedor, J.; Toledano, DT.; Lopez-Otero, P.; Docio-Fernandez, L.; Proença, J.; Perdigão, F.; García-Granada, F.... (2018). ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation. EURASIP Journal on Audio, Speech and Music Processing. 1-25. https://doi.org/10.1186/s13636-018-0125-9S125Jarina, R, Kuba, M, Gubka, R, Chmulik, M, Paralic, M (2013). 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Using genomics to understand the origin and dispersion of multidrug and extensively drug resistant tuberculosis in Portugal.

Portugal is a low incidence country for tuberculosis (TB) disease. Now figuring among TB low incidence countries, it has since the 1990s reported multidrug resistant and extensively drug resistant (XDR) TB cases, driven predominantly by two strain-types: Lisboa3 and Q1. This study describes the largest characterization of the evolutionary trajectory of M/XDR-TB strains in Portugal, spanning a time-period of two decades. By combining whole-genome sequencing and phenotypic susceptibility data for 207 isolates, we report the geospatial patterns of drug resistant TB, particularly the dispersion of Lisboa3 and Q1 clades, which underly 64.2% and 94.0% of all MDR-TB and XDR-TB isolates, respectively. Genomic-based similarity and a phylogenetic analysis revealed multiple clusters (n = 16) reflecting ongoing and uncontrolled recent transmission of M/XDR-TB, predominantly associated with the Lisboa3 and Q1 clades. These clades are now thought to be evolving in a polycentric mode across multiple geographical districts. The inferred evolutionary history is compatible with MDR- and XDR-TB originating in Portugal in the 70's and 80's, respectively, but with subsequent multiple emergence events of MDR and XDR-TB particularly involving the Lisboa3 clade. A SNP barcode was defined for Lisboa3 and Q1 and comparison with a phylogeny of global strain-types (n = 28 385) revealed the presence of Lisboa3 and Q1 strains in Europe, South America and Africa. In summary, Portugal displays an unusual and unique epidemiological setting shaped by >40 years of uncontrolled circulation of two main phylogenetic clades, leading to a sympatric evolutionary trajectory towards XDR-TB with the potential for global reach

A method for the extraction of phonetically-rich triphone sentences

A method is proposed for compiling a corpus of phonetically-rich triphone sentences; i.e., sentences with a high variety of triphones, distributed in a uniform fashion. Such a corpus is of interest for a wide range of contexts, from automatic speech recognition to speech therapy. We evaluated this method by building phonetically-rich corpora for Brazilian Portuguese. The data employed comes from Wikipedia’s dumps, which were converted into plain text, segmented and phonetically transcribed. The method consists of comparing the distance between the triphone distribution of the available sentences to na ideal uniform distribution, with equiprobable triphones. A greedy algorithm was implemented to recognize and evaluate the distance among sentences. A heuristic metric is proposed for pre-selecting sentences for the algorithm, in order to quicken its execution. The results show that, by applying the proposed metric, one can build corpora with more uniform triphone distributions

Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting.

BACKGROUND: Multidrug- (MDR) and extensively drug resistant (XDR) tuberculosis (TB) presents a challenge to disease control and elimination goals. In Lisbon, Portugal, specific and successful XDR-TB strains have been found in circulation for almost two decades. RESULTS: In the present study we have genotyped and sequenced the genomes of 56 Mycobacterium tuberculosis isolates recovered mostly from Lisbon. The genotyping data revealed three major clusters associated with MDR-TB, two of which are associated with XDR-TB. Whilst the genomic data contributed to elucidate the phylogenetic positioning of circulating MDR-TB strains, showing a high predominance of a single SNP cluster group 5. Furthermore, a genome-wide phylogeny analysis from these strains, together with 19 publicly available genomes of Mycobacterium tuberculosis clinical isolates, revealed two major clades responsible for M/XDR-TB in the region: Lisboa3 and Q1 (LAM).The data presented by this study yielded insights on microevolution and identification of novel compensatory mutations associated with rifampicin resistance in rpoB and rpoC. The screening for other structural variations revealed putative clade-defining variants. One deletion in PPE41, found among Lisboa3 isolates, is proposed to contribute to immune evasion and as a selective advantage. Insertion sequence (IS) mapping has also demonstrated the role of IS6110 as a major driver in mycobacterial evolution by affecting gene integrity and regulation. CONCLUSIONS: Globally, this study contributes with novel genome-wide phylogenetic data and has led to the identification of new genomic variants that support the notion of a growing genomic diversity facing both setting and host adaptation

Genomic epidemiology of Mycobacterium tuberculosis in Santa Catarina, Southern Brazil

Mycobacterium tuberculosis (M.tb), the pathogen responsible for tuberculosis (TB) poses as the major cause of death among infectious diseases. The knowledge about the molecular diversity of M.tb enables the implementation of more effective surveillance and control measures and, nowadays, Whole Genome Sequencing (WGS) holds the potential to produce high-resolution epidemiological data in a high-throughput manner. Florianópolis, the state capital of Santa Catarina (SC) in south Brazil, shows a high TB incidence (46.0/100,000). Here we carried out a WGS-based evaluation of the M.tb strain diversity, drug-resistance and ongoing transmission in the capital metropolitan region. Resistance to isoniazid, rifampicin, streptomycin was identified respectively in 4.0% (n = 6), 2.0% (n = 3) and 1.3% (n = 2) of the 151 studied strains by WGS. Besides, resistance to pyrazinamide and ethambutol was detected in 0.7% (n = 1) and reistance to ethionamide and fluoroquinolone (FQ) in 1.3% (n = 2), while a single (0.7%) multidrug-resistant (MDR) strain was identified. SNP-based typing classified all isolates into M.tb Lineage 4, with high proportion of sublineages LAM (60.3%), T (16.4%) and Haarlem (7.9%). The average core-genome distance between isolates was 420.3 SNPs, with 43.7% of all isolates grouped across 22 genomic clusters thereby showing the presence of important ongoing TB transmission events. Most clusters were geographically distributed across the study setting which highlights the need for an urgent interruption of these large transmission chains. The data conveyed by this study shows the presence of important and uncontrolled TB transmission in the metropolitan area and provides precise data to support TB control measures in this region.publishersversionpublishe