902 resultados para Voice interfaces


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Se analizan las interfaces de consulta de 31 repositorios patrimoniales españoles con el objetivo de identificar sus puntos fuertes y sus puntos débiles. Los elementos analizados (ayudas, consulta multilingüe, modalidades de búsqueda, lenguajes de interrogación, etc.) han sido establecidos a partir de la bibliografía especializada, tanto la que hace referencia de manera específica a las interfaces de consulta de todo tipo de repositorios, como la que trata el tema desde una perspectiva distinta o más amplia (por ejemplo, interfaces de catálogos de bibliotecas, usabilidad). Se propone una serie de recomendaciones con el fin de mejorar los puntos débiles detectados.

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Soneran IP-viestintäverkko on monipuolisia viestintäpalveluita asiakkaille tarjoava palvelualusta. Palveluihin kuuluvat ITU-T:n H.323-suosituksen mukaiset ääni- ja videopuhelut. Työssä toteutettiin viestintäverkkoon kokonaisuus, joka tarjoaa verkon käyttäjille puheluiden kytkennän ja reitityksen sekä useita älykkäitä palveluita. Kokonaisuus koostuu kahdesta komponentista. Puheluiden kytkemisen ja reitityksen sekä signaloinnin hoitaa H.323-suosituksen mukainen yhteyspalvelin Sonera Gatekeeper. Palvelujen toteuttamiseen tarvittavat tiedot säilytetään LDAP-hakemistossa. Työssä esitellään yleisimpiä suosituksia, joita käytetään äänen, videokuvan ja muun median siirtämiseen tietoverkoissa. Tarkimmin käsitellään H.323-suositusta ja muita työssä käytettyjä suosituksia. Lisäksi tarkastellaan työssä hyödynnettyjä ohjelmointirajapintoja ja vertaillaan toteutettua IP-pohjaista älykkäiden palvelujen toteutustapaa tavallisen puhelinverkon asiakkaille vastaavia palveluita tarjoavaan älyverkkoon. Lopuksi esitellään toteutettujen ohjelmistojen rakennetta.

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Diplomityössä käsitellään Nokia Mobile Phonesin matkapuhelimien käyttöliittymäohjelmistojen suunnittelu-ja testausympäristön kehitystä. Ympäristöön lisättiin kaksi ohjelmistomodulia avustamaan simulointia ja versionhallintaa. Visualisointityökalulla matkapuhelimen toiminta voidaan jäljittää suunnittelu- kaavioihin tilasiirtyminä, kun taas vertailusovelluksella kaavioiden väliset erot nähdään graafisesti. Kehitetyt sovellukset parantavat käyttöliittymien suunnitteluprosessia tehostaen virheiden etsintää, optimointia ja versionhallintaa. Visualisointityökalun edut ovat merkittävät, koska käyttöliittymäsovellusten toiminta on havaittavissa suunnittelu- kaavioista reaaliaikaisen simuloinnin yhteydessä. Näin virheet ovat välittömästi paikannettavissa. Lisäksi työkalua voidaan hyödyntää kaavioita optimoitaessa, jolloin sovellusten kokoja muistintarve pienenee. Graafinen vertailutyökalu tuo edun rinnakkaiseen ohjelmistosuunnitteluun. Eri versioisten suunnittelukaavioiden erot ovat nähtävissä suoraan kaaviosta manuaalisen vertailun sijaan. Molemmat työkalut otettiin onnistuneesti käyttöön NMP:llä vuoden 2001 alussa.

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Työn tavoitteena oli tutkia ja vertailla komponenttipohjaisia ohjelmistoarkkitehtuureita (Microsoft .NET ja J2EE). Työn tarkoituksena oli valita ohjelmistoarkkitehtuuri uudelle neuroverkkopohjaiselle urasuunnittelupalvelulle. Tässä työssä selvitettiin myös, miten luodaan kansainvälistettäviä ja lokalisoitavia sovelluksia, sekä kuinka Web-, Windows-, mobiili-, puhe- ja Digi-TV -käyttöliittymät soveltuvat uudelle urasuunnittelupalvelulle. Tutkimustyössä käytettiin alan kirjallisuutta, Microsoftin ja Sun Microsystemsin Web-sivuja. Tutkimustyössä analysoitiin Microsoft Pet Shop- ja Sun Microsystemsin Java Pet Store -esimerkkisovellusten suorituskykyvertailua. Analyysituloksiin perustuen urasuunnittelupalvelussa suositellaan käytettäväksi J2EE-arkkitehtuuria. Uudelle urasuunnittelupalvelulle toimenpide-ehdotus on komponenttipohjainen järjestelmä Web-, puhe- ja Digi-TV -käyttöliittymillä ja personoidulla sisällöllä. Järjestelmä tehdään viisivaiheisena hankkeena, johon sisältyy pilottitestejä. Uuteen urasuunnittelupalveluun liitetään mukaan opiskelijat, oppilaitokset ja työnantajat sekä asiantuntijoita neuroverkon opetusdatan määrittämiseen. Palvelu perustuu integroituun tietokantaan. Eri osajärjestelmissä tuotettua tietoa voidaan hyödyntää kaikkialla urasuunnittelupalvelussa.

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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.

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Current-day web search engines (e.g., Google) do not crawl and index a significant portion of theWeb and, hence, web users relying on search engines only are unable to discover and access a large amount of information from the non-indexable part of the Web. Specifically, dynamic pages generated based on parameters provided by a user via web search forms (or search interfaces) are not indexed by search engines and cannot be found in searchers’ results. Such search interfaces provide web users with an online access to myriads of databases on the Web. In order to obtain some information from a web database of interest, a user issues his/her query by specifying query terms in a search form and receives the query results, a set of dynamic pages that embed required information from a database. At the same time, issuing a query via an arbitrary search interface is an extremely complex task for any kind of automatic agents including web crawlers, which, at least up to the present day, do not even attempt to pass through web forms on a large scale. In this thesis, our primary and key object of study is a huge portion of the Web (hereafter referred as the deep Web) hidden behind web search interfaces. We concentrate on three classes of problems around the deep Web: characterization of deep Web, finding and classifying deep web resources, and querying web databases. Characterizing deep Web: Though the term deep Web was coined in 2000, which is sufficiently long ago for any web-related concept/technology, we still do not know many important characteristics of the deep Web. Another matter of concern is that surveys of the deep Web existing so far are predominantly based on study of deep web sites in English. One can then expect that findings from these surveys may be biased, especially owing to a steady increase in non-English web content. In this way, surveying of national segments of the deep Web is of interest not only to national communities but to the whole web community as well. In this thesis, we propose two new methods for estimating the main parameters of deep Web. We use the suggested methods to estimate the scale of one specific national segment of the Web and report our findings. We also build and make publicly available a dataset describing more than 200 web databases from the national segment of the Web. Finding deep web resources: The deep Web has been growing at a very fast pace. It has been estimated that there are hundred thousands of deep web sites. Due to the huge volume of information in the deep Web, there has been a significant interest to approaches that allow users and computer applications to leverage this information. Most approaches assumed that search interfaces to web databases of interest are already discovered and known to query systems. However, such assumptions do not hold true mostly because of the large scale of the deep Web – indeed, for any given domain of interest there are too many web databases with relevant content. Thus, the ability to locate search interfaces to web databases becomes a key requirement for any application accessing the deep Web. In this thesis, we describe the architecture of the I-Crawler, a system for finding and classifying search interfaces. Specifically, the I-Crawler is intentionally designed to be used in deepWeb characterization studies and for constructing directories of deep web resources. Unlike almost all other approaches to the deep Web existing so far, the I-Crawler is able to recognize and analyze JavaScript-rich and non-HTML searchable forms. Querying web databases: Retrieving information by filling out web search forms is a typical task for a web user. This is all the more so as interfaces of conventional search engines are also web forms. At present, a user needs to manually provide input values to search interfaces and then extract required data from the pages with results. The manual filling out forms is not feasible and cumbersome in cases of complex queries but such kind of queries are essential for many web searches especially in the area of e-commerce. In this way, the automation of querying and retrieving data behind search interfaces is desirable and essential for such tasks as building domain-independent deep web crawlers and automated web agents, searching for domain-specific information (vertical search engines), and for extraction and integration of information from various deep web resources. We present a data model for representing search interfaces and discuss techniques for extracting field labels, client-side scripts and structured data from HTML pages. We also describe a representation of result pages and discuss how to extract and store results of form queries. Besides, we present a user-friendly and expressive form query language that allows one to retrieve information behind search interfaces and extract useful data from the result pages based on specified conditions. We implement a prototype system for querying web databases and describe its architecture and components design.

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tThis paper deals with the potential and limitations of using voice and speech processing to detect Obstruc-tive Sleep Apnea (OSA). An extensive body of voice features has been extracted from patients whopresent various degrees of OSA as well as healthy controls. We analyse the utility of a reduced set offeatures for detecting OSA. We apply various feature selection and reduction schemes (statistical rank-ing, Genetic Algorithms, PCA, LDA) and compare various classifiers (Bayesian Classifiers, kNN, SupportVector Machines, neural networks, Adaboost). S-fold crossvalidation performed on 248 subjects showsthat in the extreme cases (that is, 127 controls and 121 patients with severe OSA) voice alone is able todiscriminate quite well between the presence and absence of OSA. However, this is not the case withmild OSA and healthy snoring patients where voice seems to play a secondary role. We found that thebest classification schemes are achieved using a Genetic Algorithm for feature selection/reduction.

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The use of the quartz crystal microbalance process, electrochemical impedance spectroscopy and surface plasmon resonance for characterizing thin films and monitoring interfaces is presented. The theorical aspects of QCM, EIS and SPR are introduced and the main application areas are outlined. Future prospects of the combined applications of QCM, EIS and SPR methods in the studies of interfacial processes at surfaces are also discussed.

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This paper addresses some of the challenges inherent in finding and showing a gendered voice in translation. The starting point is my own experience as a feminist translator of both feminist and non-feminist texts. Textual practices like translating necessarily interact with current theoretical debates. In turn, theoretical writing on feminism enriches and informs one’s translating activity. This interplay between theoretical models and textual practices was particularly made evident to me as I rendered Essentially speaking, by Diana Fuss, into Catalan. In this article I intend to transcend anecdotes of translating individual texts and consider how translating equals rewriting oneself; it involves rethinking writing practices. I will specifically address the rethinking of (1) one’s identity when translating ‘like’ a feminist, (2) performativity in gender and in translation, and (3) agency and (In)visibility.

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Nanotechnology can be viewed as a powerful tool, capable of shaping the chemistry of atoms and molecules, converting them into exciting nanosized and nanostructured materials, devices and machines. However, in pursuing this task, an exceptional ability is required to deal with complex inter- and multidisciplinary approaches, as imposed by the nanoscale. A new research organization framework, capable of promoting cooperative interactions in many complementary areas, including the industries, is demanded. In this sense, an interesting example are the nanotechnology networks and millenium institutes recently created in Brazil. The highlights and weakness of such cooperative research networks are discussed, in addition to relevant nanotechnology themes focusing on the special needs and resources from the developing nations.

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Brazilian chemical industries face several problems regarding Research, Development and Innovation (RDI). The present paper shows that simple cooperation between chemical industries and university laboratories can be a way to overcome some of the present difficulties. The work carried out at LABOCAT has several industrial interfaces. It involves, among other areas of RDI, the development of anti-HIV-protease (and other virus-related-protease) drugs, the establishment of new (industrial) chemical processes and the implementation of industrial (biodiesel and related) plants. A model based on the present so called RHAE programme is proposed in which, parallel to the fellowship awards of this programme, financing participation of Brazilian Agencies would cover process development.

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As the Chemical Science is an experimental one a Chemical Industry require technical people in all its staff level: from Directors and Managers to Operators. This chemical and chemical engineering based education is the foundation of the innovate process and motivation. The paper discusses this and the role of Public Policies to improve the R&D and innovation in the Brazilian Chemical Industry.

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Mimicry is a central plank of the emotional contagion theory; however, it was only tested with facial and postural emotional stimuli. This study explores the existence of mimicry in voice-to-voice communication by analyzing 8,747 sequences of emotional displays between customers and employees in a call-center context. We listened live to 967 telephone inter-actions, registered the sequences of emotional displays, and analyzed them with a Markov chain. We also explored other propositions of emotional contagion theory that were yet to be tested in vocal contexts. Results supported that mimicry is significantly present at all levels. Our findings fill an important gap in the emotional contagion theory; have practical implications regarding voice-to-voice interactions; and open doors for future vocal mimicry research.