Patrol team language identification system for DARPA RATS P1 evaluation

This paper describes the language identification (LID) system developed by the Patrol team for the first phase of the DARPA RATS (Robust Automatic Transcription of Speech) program, which seeks to advance state of the art detection capabilities on audio from highly degraded communication channels. We show that techniques originally developed for LID on telephone speech (e.g., for the NIST language recognition evaluations) remain effective on the noisy RATS data, provided that careful consideration is applied when designing the training and development sets. In addition, we show significant improvements from the use of Wiener filtering, neural network based and language dependent i-vector modeling, and fusion.

Phonotactic language recognition using i-vectors and phoneme posteriogram counts

This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based on phoneme lattices, we use posteriogram to obtain n-gram counts. The high-dimensional vectors of counts are reduced to low-dimensional units for which we adapted the commonly used term i-vectors. The reduction is based on multinomial subspace modeling and is designed to work in the total-variability space. The proposed technique was tested on the NIST 2009 LRE set with better results to a system based on using soft-counts (Cavg on 30s: 3.15% vs 3.43%), and with very good results when fused with an acoustic i-vector LID system (Cavg on 30s acoustic 2.4% vs 1.25%). The proposed technique is also compared with another low dimensional projection system based on PCA. In comparison with the original soft-counts, the proposed technique provides better results, reduces the problems due to sparse counts, and avoids the process of using pruning techniques when creating the lattices.

The Role of Knowledge Modeling Techniques in Software Development: A General Approach Based on a Knowledge Management Tool

The aim of the paper is to discuss the use of knowledge models to formulate general applications. First, the paper presents the recent evolution of the software field where increasing attention is paid to conceptual modeling. Then, the current state of knowledge modeling techniques is described where increased reliability is available through the modern knowledge acquisition techniques and supporting tools. The KSM (Knowledge Structure Manager) tool is described next. First, the concept of knowledge area is introduced as a building block where methods to perform a collection of tasks are included together with the bodies of knowledge providing the basic methods to perform the basic tasks. Then, the CONCEL language to define vocabularies of domains and the LINK language for methods formulation are introduced. Finally, the object oriented implementation of a knowledge area is described and a general methodology for application design and maintenance supported by KSM is proposed. To illustrate the concepts and methods, an example of system for intelligent traffic management in a road network is described. This example is followed by a proposal of generalization for reuse of the resulting architecture. Finally, some concluding comments are proposed about the feasibility of using the knowledge modeling tools and methods for general application design.

Papyrus, EATOP, and MetaEdit+: a comparison between the EAST-ADL modeling tools

Several Architecture Description Languages (ADLs) are emerging as models to describe and represent system architectures. Among others, EAST-ADL language is highlighted. It represents an abstraction of embedded software systems for automobiles. Given the need to implement the EAST-ADL language, there are many modeling tools to perform this task. The scope of this thesis is a detailed comparison of three EAST-ADL editors: Papyrus, EATOP and MetaEdit +, providing a conceptual framework, describing the comparison criteria, and finally exemplifying thanks to the Brake-By-Wire use case which has been provided, and whose development is not the subject of this project. The motivation for developing this project is to provide comparison guide between these three modeling tools to facilitate developers choice when deciding the tool in which develop their work. RESUMEN. Diversos Lenguajes de Descripción de Arquitecturas (ADLs) están surgiendo como modelos para describir y representar arquitecturas de sistemas. Entre ellos es destacado el lenguaje EAST-ADL, que representa una abstracción de los sistemas de software embebido para automóviles. Ante la necesidad de implementar el lenguaje EAST-ADL, han surgido diversas herramientas de modelado que llevan a cabo esta tarea. El alcance de este proyecto consiste en una comparación detallada de tres editores EAST-ADL: Papyrus, EATOP y MetaEdit+, proporcionando un marco conceptual, describiendo los criterios de comparación y finalmente ejemplificando con el caso de uso Brake-By-Wire que nos ha sido proporcionado, y cuyo desarrollo no es sujeto de este proyecto. La motivación para desarrollar este proyecto parte de proporcionar al usuario una guía comparativa de estas tres herramientas de modelado para facilitar su elección a la hora de desarrollar su trabajo.