The role of voice input for human-machine communication.

Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are building speech recognition subsystems into their new product lines. However, before this technology can be broadly useful, a substantial knowledge base is needed about human spoken language and performance during computer-based spoken interaction. This paper reviews application areas in which spoken interaction can play a significant role, assesses potential benefits of spoken interaction with machines, and compares voice with other modalities of human-computer interaction. It also discusses information that will be needed to build a firm empirical foundation for the design of future spoken and multimodal interfaces. Finally, it argues for a more systematic and scientific approach to investigating spoken input and performance with future language technology.

Computer speech synthesis: its status and prospects.

Computer speech synthesis has reached a high level of performance, with increasingly sophisticated models of linguistic structure, low error rates in text analysis, and high intelligibility in synthesis from phonemic input. Mass market applications are beginning to appear. However, the results are still not good enough for the ubiquitous application that such technology will eventually have. A number of alternative directions of current research aim at the ultimate goal of fully natural synthetic speech. One especially promising trend is the systematic optimization of large synthesis systems with respect to formal criteria of evaluation. Speech recognition has progressed rapidly in the past decade through such approaches, and it seems likely that their application in synthesis will produce similar improvements.

Human-computer interaction for optical music recognition tasks

The need to digitise music scores has led to the development of Optical Music Recognition (OMR) tools. Unfortunately, the performance of these systems is still far from providing acceptable results. This situation forces the user to be involved in the process due to the need of correcting the mistakes made during recognition. However, this correction is performed over the output of the system, so these interventions are not exploited to improve the performance of the recognition. This work sets the scenario in which human and machine interact to accurately complete the OMR task with the least possible effort for the user.

Improving 3D Keypoint Detection from Noisy Data Using Growing Neural Gas

3D sensors provides valuable information for mobile robotic tasks like scene classification or object recognition, but these sensors often produce noisy data that makes impossible applying classical keypoint detection and feature extraction techniques. Therefore, noise removal and downsampling have become essential steps in 3D data processing. In this work, we propose the use of a 3D filtering and down-sampling technique based on a Growing Neural Gas (GNG) network. GNG method is able to deal with outliers presents in the input data. These features allows to represent 3D spaces, obtaining an induced Delaunay Triangulation of the input space. Experiments show how the state-of-the-art keypoint detectors improve their performance using GNG output representation as input data. Descriptors extracted on improved keypoints perform better matching in robotics applications as 3D scene registration.

The Theoretical Framework and Methodology to Estimate the Farm Labour and Other Factor-Derived Demand and Output Supply Systems. Factor Markets Working Document No. 44, May 2013

This paper provides a conceptual framework for the estimation of the farm labour and other factor-derived demand and output supply systems. In order to analyse the drivers of labour demand in agriculture and account for the impact of policies on those decisions, it is necessary to acknowledge the interaction between the different factor markets. For this purpose, we present a review of the theoretical background to primal and dual representations of production and some empirical literature that has made use of derived demand systems. The main focus of the empirical work is to study the effect of market distortions in one market, through inefficient pricing, on the demand for other inputs. Therefore, own-price and cross-price elasticities of demand become key variables in the analysis. The dual cost function is selected as the most appropriate approach, where input prices are assumed to be exogenous. A commonly employed specification – and one that is particularly convenient due to its flexible form – is the translog cost function. The analysis consists of estimating the system of cost-share equations, in order to obtain the derived demand functions for inputs. Thus, the elasticities of factor substitution can be used to examine the complementarity/substitutability between inputs.

Regulador linear de tensão em tecnologia HV-CMOS

Atualmente, assiste-se na nossa sociedade a um recurso e uso massivo de equipamentos eletrónicos portáteis. Este facto, aliado à competitividade de mercado, exigiu o desenvolvimento desses equipamentos com o intuito de melhorar a sua gestão de potência e, obter, consequentemente, maior autonomia e rendimento. Assim, na gestão de potência de um SoC são os reguladores de tensão que assumem um papel de extrema importância. O trabalho realizado ao longo da presente dissertação pressupõe o projeto de um regulador linear de tensão do tipo LDO em tecnologia HV-CMOS, capaz de suportar tensões de entrada de 12V com vista à alimentação de blocos funcionais RF-CMOS com 3,3V e uma corrente de 100mA. Foi implementado através do processo CMOS de 0.35μm de 50V da Austria Micro Systems. A corrente de quiescente do regulador linear de tensão que determina a eficiência de corrente é de 120,22μA. Possui uma eficiência de corrente de 99,88% e um rendimento de 82,46% quando a tensão mínima de entrada é utilizada. O regulador linear de tensão possui uma tensão de dropout de 707mV. A estabilidade do sistema é mantida mesmo com transições de carga de 10μA para 100mA. O regulador possui um tempo de estabelecimento inferior a 2,4μs e uma variação da tensão de saída relativamente ao seu valor nominal inferior a 18mV, ambos para o pior caso. Porém, este regulador possui um undershoot e um overshoot de +- 1,85V.

Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States

Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.

Modification of teletype equipment for use with Illiac /

"March 11, 1954"

The WEB system : part II a formal description of the WEB input language /

"Supported in part by Contract AT(11-1)-1018 with the U.S. Atomic Energy Commission and the Advanced Research Projects Agency."

MPIX : a microprocessor-based system for graphical output /

"UILU-ENG 79 1718."

The output display of Transformatrix.

"Supported in part by ... Contract no. AEC AT(11-1)1469."

Design of irredundant multiple-level MOS networks for multiple-output and incompletely specified functions /

Thesis (M. S.)--University of Illinois at Urbana-Champaign.

System and circuit design of the transformatrix coefficient processor and output data channel,

Vita.

Diagnosis of printed circuit cards on a programmable test equipment /

Originally published as the author's thesis (M.S.)--University of Illinois at Urbana-Champaign, 1970.

An algorithm for the minimization of two-level multiple-output networks.

Vita.