126 resultados para Aires Mateus, Portuguese architecture
Resumo:
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).
Resumo:
In this paper, a module for homograph disambiguation in Portuguese Text-to-Speech (TTS) is proposed. This module works with a part-of-speech (POS) parser, used to disambiguate homographs that belong to different parts-of-speech, and a semantic analyzer, used to disambiguate homographs which belong to the same part-of-speech. The proposed algorithms are meant to solve a significant part of homograph ambiguity in European Portuguese (EP) (106 homograph pairs so far). This system is ready to be integrated in a Letter-to-Sound (LTS) converter. The algorithms were trained and tested with different corpora. The obtained experimental results gave rise to 97.8% of accuracy rate. This methodology is also valid for Brazilian Portuguese (BP), since 95 homographs pairs are exactly the same as in EP. A comparison with a probabilistic approach was also done and results were discussed.
Resumo:
The recent developments on Hidden Markov Models (HMM) based speech synthesis showed that this is a promising technology fully capable of competing with other established techniques. However some issues still lack a solution. Several authors report an over-smoothing phenomenon on both time and frequencies which decreases naturalness and sometimes intelligibility. In this work we present a new vowel intelligibility enhancement algorithm that uses a discrete Kalman filter (DKF) for tracking frame based parameters. The inter-frame correlations are modelled by an autoregressive structure which provides an underlying time frame dependency and can improve time-frequency resolution. The system’s performance has been evaluated using objective and subjective tests and the proposed methodology has led to improved results.
Resumo:
Crowdsourcing is evolving into powerful outsourcing options for organizations by providing access to the intellectual capital within a vast knowledge community. Innovation brokering services have emerged to facilitate crowdsourcing projects by connecting up companies with potential solution providers within the wider ‘crowd’. Most existing innovation brokering services are primarily aimed at larger organizations, however, Small and Medium Enterprises (SMEs) offer considerable potential for crowdsourcing activity since they are typically the innovation and employment engines in society; they are typically more nimble and responsive to the business environment than the larger companies. SMEs have very different challenges and needs to larger organizations since they have fewer resources, a more limited knowledge and skill base, and immature management practices. Consequently, innovation brokering for SMEs require considerably more support than for larger organizations. This paper identifies the crowdsourcing innovation brokerage facilities needed by SMEs, and presents an architecture that encourages knowledge sharing, development of community, support in mixing and matching capabilities, and management of stakeholders’ risks. Innovation brokering is emerging as a novel business model that is challenging concepts of the traditional value chain and organizational boundaries.
Resumo:
The research on corporate social responsibility has been focused mainly on Anglo-Saxon countries and big companies. Most scholars agree there is a positive relationship between companies social and economic performance, however, this is not unanimous. Moreover,during economic downturns, companies struggle for survival and might consider corporate social responsibility efforts should be postponed. This research investigates if there is a positive relationship between social performance and key business results using a large sample of small and medium Portuguese companies over an extended period of time. The research results support the existence of valid positive relationships between companies’ social performance and key business results, confirming it does pay to invest in corporate social responsibility even in less favorable economic scenarios and for small and medium companies across all business sectors.
Resumo:
Este documento contém todo o estudo e planeamento para a implementação de um novo sistema de monitorização e alarmística, desenvolvido para o serviço de informática, no decorrer do estágio profissional no Instituto Português de Oncologia do Porto. Observou-se que o sistema já existente, apesar de facilitar algumas ações da equipa, apresentava muitas lacunas, mas ao mesmo tempo uma boa abertura para evolução. A criação desse sistema teve que contemplar um conjunto de objetivos que levaram a elaboração de estudos, permitindo uma análise e fundamento na tomada de decisões e na criação de tarefas e testes. É apresentado também um estudo de uma nova arquitetura, pois devido a falta de recursos que a solução já implementada tinha, que permitisse ao serviço de informática obter um sistema robusto, redundante, fiável, seguro e sempre disponível.