977 resultados para synchronous HMM


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Digit speech recognition is important in many applications such as automatic data entry, PIN entry, voice dialing telephone, automated banking system, etc. This paper presents speaker independent speech recognition system for Malayalam digits. The system employs Mel frequency cepstrum coefficient (MFCC) as feature for signal processing and Hidden Markov model (HMM) for recognition. The system is trained with 21 male and female voices in the age group of 20 to 40 years and there was 98.5% word recognition accuracy (94.8% sentence recognition accuracy) on a test set of continuous digit recognition task.

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Malayalam is one of the 22 scheduled languages in India with more than 130 million speakers. This paper presents a report on the development of a speaker independent, continuous transcription system for Malayalam. The system employs Hidden Markov Model (HMM) for acoustic modeling and Mel Frequency Cepstral Coefficient (MFCC) for feature extraction. It is trained with 21 male and female speakers in the age group ranging from 20 to 40 years. The system obtained a word recognition accuracy of 87.4% and a sentence recognition accuracy of 84%, when tested with a set of continuous speech data.

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Performance of any continuous speech recognition system is dependent on the accuracy of its acoustic model. Hence, preparation of a robust and accurate acoustic model lead to satisfactory recognition performance for a speech recognizer. In acoustic modeling of phonetic unit, context information is of prime importance as the phonemes are found to vary according to the place of occurrence in a word. In this paper we compare and evaluate the effect of context dependent tied (CD tied) models, context dependent (CD) and context independent (CI) models in the perspective of continuous speech recognition of Malayalam language. The database for the speech recognition system has utterance from 21 speakers including 11 female and 10 males. Our evaluation results show that CD tied models outperforms CI models over 21%.

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A connected digit speech recognition is important in many applications such as automated banking system, catalogue-dialing, automatic data entry, automated banking system, etc. This paper presents an optimum speaker-independent connected digit recognizer forMalayalam language. The system employs Perceptual Linear Predictive (PLP) cepstral coefficient for speech parameterization and continuous density Hidden Markov Model (HMM) in the recognition process. Viterbi algorithm is used for decoding. The training data base has the utterance of 21 speakers from the age group of 20 to 40 years and the sound is recorded in the normal office environment where each speaker is asked to read 20 set of continuous digits. The system obtained an accuracy of 99.5 % with the unseen data.

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In dieser Arbeit wird ein generisches Modell fuer synchrone Gruppenarbeit auf gemeinsamen Informationsraeumen entwickelt. Fuer die Entwicklung dieses Modells muessen die Grundfunktionen fuer Anwendungen der synchronen Gruppenarbeit realisiert werden. Neben der Modellierung des Datenraumes (Datenmodell) und der operationellen Schnittstelle (Interaktionsmodell), muessen Mechanismen fuer die Darstellung der Aktivitaeten der Gruppenmitglieder auf dem Informationsraum (Awareness), sowie fuer die Synchronisierung gleichzeitiger Zugriffe verschiedener Benutzer auf dem Datenraum realisiert werden (Nebenlaeufgkeitskontrolle). Das Grundproblem bei der Loesung der Nebenlaeufigkeit liegt bei der Aufgabe der Isolation aus den klassischen ACID-Transaktionen zu gunsten von Awareness. Die rapide Entwicklung von Techniken der mobilen Kommunikation ermoeglicht den Einsatz dieser Geraete fuer den Zugriff auf Daten im Internet. Durch UMTSund WLAN-Technologien koennen Mobilgeraete fuer Anwendungen ueber die reine Kommunikation hinaus eingesetzt werden. Eine natuerliche Folge dieser Entwicklung sind Anwendungen fuer die Zusammenarbeit mehrerer Benutzer. In der Arbeit wird daher auf die Unterstuetzung mobiler Geraete besonderen Wert gelegt. Die Interaktion der Benutzer auf den gemeinsamen Datenraum wird durch einfache Navigationsoperationen mit einem Cursor (Finger) realisiert, wobei der Datenraum durch XML-Dokumente dargestellt wird. Die Visualisierung basiert auf der Transformierung von XML-Dokumenten in andere XML-basierte Sprachen wie HTML oder SVG durch XSLT-Stylesheets. Awareness-Informationen werden, aehnlich dem Fokus/Nimbus-Modell, von der Interaktion der Benutzer und der Ermittlung der sichtbaren Objekte bei dem Benutzer hergeleitet. Fuer eine geeignete Kontrolle der Nebenlaeufigkeit wurde der Begriff der visuellen Transaktion eingefuehrt, wo die Auswirkungen einer Transaktion von anderen Benutzern (Transaktionen) beobachtet werden koennen. Die Synchronisierung basiert auf einem Sperrverfahren und der Einfuehrung der neuen W-Sperre und der Grundoperationen readV und writeV. Das Modell (Groupware-Server) wird in der Arbeit in einem Prototyp implementiert. Weiterhin wird eine Java-Anwendung sowohl auf einem Desktop PC als auch auf einem Pocket PC (iPAQ 3970) implementiert, welche die Einsetzbarkeit dieses Prototyps demonstriert.

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In this thesis I present a language for instructing a sheet of identically-programmed, flexible, autonomous agents (``cells'') to assemble themselves into a predetermined global shape, using local interactions. The global shape is described as a folding construction on a continuous sheet, using a set of axioms from paper-folding (origami). I provide a means of automatically deriving the cell program, executed by all cells, from the global shape description. With this language, a wide variety of global shapes and patterns can be synthesized, using only local interactions between identically-programmed cells. Examples include flat layered shapes, all plane Euclidean constructions, and a variety of tessellation patterns. In contrast to approaches based on cellular automata or evolution, the cell program is directly derived from the global shape description and is composed from a small number of biologically-inspired primitives: gradients, neighborhood query, polarity inversion, cell-to-cell contact and flexible folding. The cell programs are robust, without relying on regular cell placement, global coordinates, or synchronous operation and can tolerate a small amount of random cell death. I show that an average cell neighborhood of 15 is sufficient to reliably self-assemble complex shapes and geometric patterns on randomly distributed cells. The language provides many insights into the relationship between local and global descriptions of behavior, such as the advantage of constructive languages, mechanisms for achieving global robustness, and mechanisms for achieving scale-independent shapes from a single cell program. The language suggests a mechanism by which many related shapes can be created by the same cell program, in the manner of D'Arcy Thompson's famous coordinate transformations. The thesis illuminates how complex morphology and pattern can emerge from local interactions, and how one can engineer robust self-assembly.

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Graphical techniques for modeling the dependencies of randomvariables have been explored in a variety of different areas includingstatistics, statistical physics, artificial intelligence, speech recognition, image processing, and genetics.Formalisms for manipulating these models have been developedrelatively independently in these research communities. In this paper weexplore hidden Markov models (HMMs) and related structures within the general framework of probabilistic independencenetworks (PINs). The paper contains a self-contained review of the basic principles of PINs.It is shown that the well-known forward-backward (F-B) and Viterbialgorithms for HMMs are special cases of more general inference algorithms forarbitrary PINs. Furthermore, the existence of inference and estimationalgorithms for more general graphical models provides a set of analysistools for HMM practitioners who wish to explore a richer class of HMMstructures.Examples of relatively complex models to handle sensorfusion and coarticulationin speech recognitionare introduced and treated within the graphical model framework toillustrate the advantages of the general approach.

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Stock markets employ specialized traders, market-makers, designed to provide liquidity and volume to the market by constantly supplying both supply and demand. In this paper, we demonstrate a novel method for modeling the market as a dynamic system and a reinforcement learning algorithm that learns profitable market-making strategies when run on this model. The sequence of buys and sells for a particular stock, the order flow, we model as an Input-Output Hidden Markov Model fit to historical data. When combined with the dynamics of the order book, this creates a highly non-linear and difficult dynamic system. Our reinforcement learning algorithm, based on likelihood ratios, is run on this partially-observable environment. We demonstrate learning results for two separate real stocks.

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This paper presents a model and analysis of a synchronous tandem flow line that produces different part types on unreliable machines. The machines operate according to a static priority rule, operating on the highest priority part whenever possible, and operating on lower priority parts only when unable to produce those with higher priorities. We develop a new decomposition method to analyze the behavior of the manufacturing system by decomposing the long production line into small analytically tractable components. As a first step in modeling a production line with more than one part type, we restrict ourselves to the case where there are two part types. Detailed modeling and derivations are presented with a small two-part-type production line that consists of two processing machines and two demand machines. Then, a generalized longer flow line is analyzed. Furthermore, estimates for performance measures, such as average buffer levels and production rates, are presented and compared to extensive discrete event simulation. The quantitative behavior of the two-part type processing line under different demand scenarios is also provided.

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El presente trabajo es una revisión de la literatura de investigación en Ciberpsicología centrada en las categorías de privacidad, intimidad, identidad y vulnerabilidad, y en la forma como estas se desarrollan en las redes sociales virtuales. Los principales hallazgos indicaron que son los jóvenes quienes dedican gran parte de su tiempo a interactuar en dichas redes, y a su vez, dado el manejo que les dan, tienen mayor exposición ante los posibles riesgos de estas, como el matoneo, las conductas auto lesivas, la explotación sexual y los trastornos de la alimentación. Se describen estos riesgos y se proponen posibles soluciones.

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This investigation proposes to explore the existing link between a strategic conception of philanthropy and innovation. Indeed, the nature of the research question relies on an unexplored field in the CSR and Innovation management academic literature. It starts with the interest to know which the benefits are for a firm encouraged to invest strategically in philanthropy. In this regard, the analysis contributes in fitting this gap by following different objectives in an exploratory perspective. Throughout the research it will be analyzed the concept and the current and past contributions on the different branches of innovation (product innovation, managerial innovation, technological innovation), to accentuate the relation between an accurate strategic approach to philanthropy and the impact on the organizational value. Indeed, analyzing philanthropic innovation may provide insights about business opportunities and notions related to social investments and profit. That aspect includes the link between those strategic decisions that a firm can use to maximize those investments as it was part of their core business. It also proves the existing link between CSR and innovation, and the possibilities that the enterprises have towards this subject.

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Our understanding of the ancient ocean-atmosphere system has focused on oceanic proxies. However, the study of terrestrial proxies is equally necessary to constrain our understanding of ancient climates and linkages between the terrestrial and oceanic carbon reservoirs. We have analyzed carbon-isotope ratios from fossil plant material through the Valanginian and Lower Hauterivian from a shallow-marine, ammonite-constrained succession in the Crimean Peninsula of the southern Ukraine in order to determine if the Upper Valanginian positive carbon-isotope excursion is expressed in the atmosphere. delta(13)C(plant) values fluctuate around -23% to -22% for the Valanginian-Hauterivian, except during the Upper Valanginian where delta(13)C(plant) values record a positive excursion to similar to-18%. Based upon ammonite biostratigraphy from Crimea, and in conjunction with a composite Tethyan marine delta(13)C(carb) curve, several conclusions can be drawn: (1) the delta(13)C(plant) record indicates that the atmospheric carbon reservoir was affected; (2) the defined ammonite correlations between Europe and Crimea are synchronous; and (3) a change in photosynthetic carbon-isotope fractionation, caused by a decrease in atmospheric PCO2, occurred during the Upper Valanginian Positive delta(13)C excursion. Our new data, combined with other paleoenvironmental and paleoclimatic information, indicate that the Upper Valanginian was a cool period (icehouse) and highlights that the Cretaceous period was interrupted by periods of cooling and was not an equable climate as previously thought. (C) 2005 Elsevier B.V. All rights reserved.

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Deposits of coral-bearing, marine shell conglomerate exposed at elevations higher than 20 m above present-day mean sea level (MSL) in Bermuda and the Bahamas have previously been interpreted as relict intertidal deposits formed during marine isotope stage (MIS) I I, ca. 360-420 ka before present. On the strength of this evidence, a sea level highstand more than 20 m higher than present-day MSL was inferred for the MIS I I interglacial, despite a lack of clear supporting evidence in the oxygen-isotope records of deep-sea sediment cores. We have critically re-examined the elevated marine deposits in Bermuda, and find their geological setting, sedimentary relations, and microfaunal assemblages to be inconsistent with intertidal deposition over an extended period. Rather, these deposits, which comprise a poorly sorted mixture of reef, lagoon and shoreline sediments, appear to have been carried tens of meters inside karst caves, presumably by large waves, at some time earlier than ca. 310-360 ka before present (MIS 9-11). We hypothesize that these deposits are the result of a large tsunami during the mid-Pleistocene, in which Bermuda was impacted by a wave set that carried sediments from the surrounding reef platform and nearshore waters over the eolianite atoll. Likely causes for such a megatsunami are the flank collapse of an Atlantic island volcano, such as the roughly synchronous Julan or Orotava submarine landslides in the Canary Islands, or a giant submarine landslide on the Atlantic continental margin. (c) 2006 Elsevier B.V. All rights reserved.

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In order to gain a better understanding of online conceptual collaborative design processes this paper investigates how student designers make use of a shared virtual synchronous environment when engaged in conceptual design. The software enables users to talk to each other and share sketches when they are remotely located. The paper describes a novel methodology for observing and analysing collaborative design processes by adapting the concepts of grounded theory. Rather than concentrating on narrow aspects of the final artefacts, emerging “themes” are generated that provide a broader picture of collaborative design process and context descriptions. Findings on the themes of “grounding – mutual understanding” and “support creativity” complement findings from other research, while important themes associated with “near-synchrony” have not been emphasised in other research. From the study, a series of design recommendations are made for the development of tools to support online computer-supported collaborative work in design using a shared virtual environment.

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An information processor for rendering input data compatible with standard video recording and/or display equipment, comprizing means for digitizing the input data over periods which are synchronous with the fields of a standard video signal, a store adapted to store the digitized data and release stored digitized data in correspondence wiht the line scan of a standard video monitor, the store having two halves which correspond to the interlaced fields of a standard video signal and being so arranged that one half is filed while the other is emptied, and means for converting the released stored digitized data into video luminance signals. The input signals may be in digital or analogue form. A second stage which reconstitutes the recorded data is also described.