Design and evaluation of acceleration strategies for speeding up the development of dialog applications

In this paper, we describe a complete development platform that features different innovative acceleration strategies, not included in any other current platform, that simplify and speed up the definition of the different elements required to design a spoken dialog service. The proposed accelerations are mainly based on using the information from the backend database schema and contents, as well as cumulative information produced throughout the different steps in the design. Thanks to these accelerations, the interaction between the designer and the platform is improved, and in most cases the design is reduced to simple confirmations of the “proposals” that the platform dynamically provides at each step. In addition, the platform provides several other accelerations such as configurable templates that can be used to define the different tasks in the service or the dialogs to obtain or show information to the user, automatic proposals for the best way to request slot contents from the user (i.e. using mixed-initiative forms or directed forms), an assistant that offers the set of more probable actions required to complete the definition of the different tasks in the application, or another assistant for solving specific modality details such as confirmations of user answers or how to present them the lists of retrieved results after querying the backend database. Additionally, the platform also allows the creation of speech grammars and prompts, database access functions, and the possibility of using mixed initiative and over-answering dialogs. In the paper we also describe in detail each assistant in the platform, emphasizing the different kind of methodologies followed to facilitate the design process at each one. Finally, we describe the results obtained in both a subjective and an objective evaluation with different designers that confirm the viability, usefulness, and functionality of the proposed accelerations. Thanks to the accelerations, the design time is reduced in more than 56% and the number of keystrokes by 84%.

A Satisfaction-based Model for Affect Recognition from Conversational Features in Spoken Dialog Systems

Detecting user affect automatically during real-time conversation is the main challenge towards our greater aim of infusing social intelligence into a natural-language mixed-initiative High-Fidelity (Hi-Fi) audio control spoken dialog agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. This paper attempts to address part of this challenge by considering the role of user satisfaction ratings and also conversational/dialog features in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. However, given the laboratory constraints, users might be positively biased when rating the system, indirectly making the reliability of the satisfaction data questionable. Machine learning experiments were conducted on two datasets, users and annotators, which were then compared in order to assess the reliability of these datasets. Our results indicated that standard classifiers were significantly more successful in discriminating the abovementioned emotions and their intensities (reflected by user satisfaction ratings) from annotator data than from user data. These results corroborated that: first, satisfaction data could be used directly as an alternative target variable to model affect, and that they could be predicted exclusively by dialog features. Second, these were only true when trying to predict the abovementioned emotions using annotator?s data, suggesting that user bias does exist in a laboratory-led evaluation.

Application of backend database contents and structure to the design of spoken dialog services

Current development platforms for designing spoken dialog services feature different kinds of strategies to help designers build, test, and deploy their applications. In general, these platforms are made up of several assistants that handle the different design stages (e.g. definition of the dialog flow, prompt and grammar definition, database connection, or to debug and test the running of the application). In spite of all the advances in this area, in general the process of designing spoken-based dialog services is a time consuming task that needs to be accelerated. In this paper we describe a complete development platform that reduces the design time by using different types of acceleration strategies based on using information from the data model structure and database contents, as well as cumulative information obtained throughout the successive steps in the design. Thanks to these accelerations, the interaction with the platform is simplified and the design is reduced, in most cases, to simple confirmations to the “proposals” that the platform automatically provides at each stage. Different kinds of proposals are available to complete the application flow such as the possibility of selecting which information slots should be requested to the user together, predefined templates for common dialogs, the most probable actions that make up each state defined in the flow, different solutions to solve specific speech-modality problems such as the presentation of the lists of retrieved results after querying the backend database. The platform also includes accelerations for creating speech grammars and prompts, and the SQL queries for accessing the database at runtime. Finally, we will describe the setup and results obtained in a simultaneous summative, subjective and objective evaluations with different designers used to test the usability of the proposed accelerations as well as their contribution to reducing the design time and interaction.

Assessing user bias in affect detection within context-based spoken dialog systems

This paper presents an empirical evidence of user bias within a laboratory-oriented evaluation of a Spoken Dialog System. Specifically, we addressed user bias in their satisfaction judgements. We question the reliability of this data for modeling user emotion, focusing on contentment and frustration in a spoken dialog system. This bias is detected through machine learning experiments that were conducted on two datasets, users and annotators, which were then compared in order to assess the reliability of these datasets. The target used was the satisfaction rating and the predictors were conversational/dialog features. Our results indicated that standard classifiers were significantly more successful in discriminating frustration and contentment and the intensities of these emotions (reflected by user satisfaction ratings) from annotator data than from user data. Indirectly, the results showed that conversational features are reliable predictors of the two abovementioned emotions.

User-centric need-driven affect modeling for spoken conversational agents: design and evaluation

It is easy to get frustrated at spoken conversational agents (SCAs), perhaps because they seem to be callous. By and large, the quality of human-computer interaction is affected due to the inability of the SCAs to recognise and adapt to user emotional state. Now with the mass appeal of artificially-mediated communication, there has been an increasing need for SCAs to be socially and emotionally intelligent, that is, to infer and adapt to their human interlocutors’ emotions on the fly, in order to ascertain an affective, empathetic and naturalistic interaction. An enhanced quality of interaction would reduce users’ frustrations and consequently increase their satisfactions. These reasons have motivated the development of SCAs towards including socio-emotional elements, turning them into affective and socially-sensitive interfaces. One barrier to the creation of such interfaces has been the lack of methods for modelling emotions in a task-independent environment. Most emotion models for spoken dialog systems are task-dependent and thus cannot be used “as-is” in different applications. This Thesis focuses on improving this, in which it concerns computational modeling of emotion, personality and their interrelationship for task-independent autonomous SCAs. The generation of emotion is driven by needs, inspired by human’s motivational systems. The work in this Thesis is organised in three stages, each one with its own contribution. The first stage involved defining, integrating and quantifying the psychological-based motivational and emotional models sourced from. Later these were transformed into a computational model by implementing them into software entities. The computational model was then incorporated and put to test with an existing SCA host, a HiFi-control agent. The second stage concerned automatic prediction of affect, which has been the main challenge towards the greater aim of infusing social intelligence into the HiFi agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. In this stage, we attempted to address part of this challenge by considering the roles of user satisfaction ratings and conversational/dialog features as the respective target and predictors in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. The final stage concerned the evaluation of the emotional model through the HiFi agent. A series of user studies with 70 subjects were conducted in a real-time environment, each in a different phase and with its own conditions. All the studies involved the comparisons between the baseline non-modified and the modified agent. The findings have gone some way towards enhancing our understanding of the utility of emotion in spoken dialog systems in several ways; first, an SCA should not express its emotions blindly, albeit positive. Rather, it should adapt its emotions to user states. Second, low performance in an SCA may be compensated by the exploitation of emotion. Third, the expression of emotion through the exploitation of prosody could better improve users’ perceptions of an SCA compared to exploiting emotions through just lexical contents. Taken together, these findings not only support the success of the emotional model, but also provide substantial evidences with respect to the benefits of adding emotion in an SCA, especially in mitigating users’ frustrations and ultimately improving their satisfactions. Resumen Es relativamente fácil experimentar cierta frustración al interaccionar con agentes conversacionales (Spoken Conversational Agents, SCA), a menudo porque parecen ser un poco insensibles. En general, la calidad de la interacción persona-agente se ve en cierto modo afectada por la incapacidad de los SCAs para identificar y adaptarse al estado emocional de sus usuarios. Actualmente, y debido al creciente atractivo e interés de dichos agentes, surge la necesidad de hacer de los SCAs unos seres cada vez más sociales y emocionalmente inteligentes, es decir, con capacidad para inferir y adaptarse a las emociones de sus interlocutores humanos sobre la marcha, de modo que la interacción resulte más afectiva, empática y, en definitiva, natural. Una interacción mejorada en este sentido permitiría reducir la posible frustración de los usuarios y, en consecuencia, mejorar el nivel de satisfacción alcanzado por los mismos. Estos argumentos justifican y motivan el desarrollo de nuevos SCAs con capacidades socio-emocionales, dotados de interfaces afectivas y socialmente sensibles. Una de las barreras para la creación de tales interfaces ha sido la falta de métodos de modelado de emociones en entornos independientes de tarea. La mayoría de los modelos emocionales empleados por los sistemas de diálogo hablado actuales son dependientes de tarea y, por tanto, no pueden utilizarse "tal cual" en diferentes dominios o aplicaciones. Esta tesis se centra precisamente en la mejora de este aspecto, la definición de modelos computacionales de las emociones, la personalidad y su interrelación para SCAs autónomos e independientes de tarea. Inspirada en los sistemas motivacionales humanos en el ámbito de la psicología, la tesis propone un modelo de generación/producción de la emoción basado en necesidades. El trabajo realizado en la presente tesis está organizado en tres etapas diferenciadas, cada una con su propia contribución. La primera etapa incluyó la definición, integración y cuantificación de los modelos motivacionales de partida y de los modelos emocionales derivados a partir de éstos. Posteriormente, dichos modelos emocionales fueron plasmados en un modelo computacional mediante su implementación software. Este modelo computacional fue incorporado y probado en un SCA anfitrión ya existente, un agente con capacidad para controlar un equipo HiFi, de alta fidelidad. La segunda etapa se orientó hacia el reconocimiento automático de la emoción, aspecto que ha constituido el principal desafío en relación al objetivo mayor de infundir inteligencia social en el agente HiFi. En los últimos años, los estudios sobre reconocimiento de emociones a partir de la voz han pasado de emplear datos actuados a usar datos reales en los que la presencia u observación de emociones se produce de una manera mucho más sutil. El reconocimiento de emociones bajo estas condiciones resulta mucho más complicado y esta dificultad se pone de manifiesto en tareas tales como el etiquetado y el aprendizaje automático. En esta etapa, se abordó el problema del reconocimiento de las emociones del usuario a partir de características o métricas derivadas del propio diálogo usuario-agente. Gracias a dichas métricas, empleadas como predictores o indicadores del grado o nivel de satisfacción alcanzado por el usuario, fue posible discriminar entre satisfacción y frustración, las dos emociones prevalentes durante la interacción usuario-agente. La etapa final corresponde fundamentalmente a la evaluación del modelo emocional por medio del agente Hifi. Con ese propósito se llevó a cabo una serie de estudios con usuarios reales, 70 sujetos, interaccionando con diferentes versiones del agente Hifi en tiempo real, cada uno en una fase diferente y con sus propias características o capacidades emocionales. En particular, todos los estudios realizados han profundizado en la comparación entre una versión de referencia del agente no dotada de ningún comportamiento o característica emocional, y una versión del agente modificada convenientemente con el modelo emocional propuesto. Los resultados obtenidos nos han permitido comprender y valorar mejor la utilidad de las emociones en los sistemas de diálogo hablado. Dicha utilidad depende de varios aspectos. En primer lugar, un SCA no debe expresar sus emociones a ciegas o arbitrariamente, incluso aunque éstas sean positivas. Más bien, debe adaptar sus emociones a los diferentes estados de los usuarios. En segundo lugar, un funcionamiento relativamente pobre por parte de un SCA podría compensarse, en cierto modo, dotando al SCA de comportamiento y capacidades emocionales. En tercer lugar, aprovechar la prosodia como vehículo para expresar las emociones, de manera complementaria al empleo de mensajes con un contenido emocional específico tanto desde el punto de vista léxico como semántico, ayuda a mejorar la percepción por parte de los usuarios de un SCA. Tomados en conjunto, los resultados alcanzados no sólo confirman el éxito del modelo emocional, sino xv que constituyen además una evidencia decisiva con respecto a los beneficios de incorporar emociones en un SCA, especialmente en cuanto a reducir el nivel de frustración de los usuarios y, en última instancia, mejorar su satisfacción.

Text categorization methods for automatic estimation of verbal intelligence

In this paper we investigate whether conventional text categorization methods may suffice to infer different verbal intelligence levels. This research goal relies on the hypothesis that the vocabulary that speakers make use of reflects their verbal intelligence levels. Automatic verbal intelligence estimation of users in a spoken language dialog system may be useful when defining an optimal dialog strategy by improving its adaptation capabilities. The work is based on a corpus containing descriptions (i.e. monologs) of a short film by test persons yielding different educational backgrounds and the verbal intelligence scores of the speakers. First, a one-way analysis of variance was performed to compare the monologs with the film transcription and to demonstrate that there are differences in the vocabulary used by the test persons yielding different verbal intelligence levels. Then, for the classification task, the monologs were represented as feature vectors using the classical TF–IDF weighting scheme. The Naive Bayes, k-nearest neighbors and Rocchio classifiers were tested. In this paper we describe and compare these classification approaches, define the optimal classification parameters and discuss the classification results obtained.

I feel you: Towards affect-sensitive domotic Spoken Conversational Agents

We describe the work on infusion of emotion into limitedtask autonomous spoken conversational agents (SCAs) situated in the domestic environment, using a Need-inspired task-independentEmotion model (NEMO). In order to demonstrate the generation of a?ect through the use of the model, we describe the work of integrating it with a naturallanguage mixed-initiative HiFi-control SCA. NEMO and the host system communicates externally, removing the need for the Dialog Manager to be modi?ed as done in most existing dialog systems, in order to be adaptive. We also summarize the work on automatic a?ect prediction, namely frustration and contentment from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach.

Interfaz gráfica y fase de pruebas de software de vídeo forense (Sistema de codificación DV)

El presente proyecto fin de carrera, realizado por el ingeniero técnico en telecomunicaciones Pedro M. Matamala Lucas, es la fase final de desarrollo de un proyecto de mayor magnitud correspondiente al software de vídeo forense SAVID. El propósito del proyecto en su totalidad es la creación de una herramienta informática capacitada para realizar el análisis de ficheros de vídeo, codificados y comprimidos por el sistema DV –Digital Video-. El objetivo del análisis, es aportar información acerca de si la cinta magnética presenta indicios de haber sido manipulada con una edición posterior a su grabación original, además, de mostrar al usuario otros datos de interés como las especificaciones técnicas de la señal de vídeo y audio. Por lo tanto, se facilitará al usuario, analista de vídeo forense, información que le ayude a valorar la originalidad del contenido del soporte que es sujeto del análisis. El objetivo específico de esta fase final, es la creación de la interfaz de usuario del software, que informa tanto del código binario de los sectores significativos, como de su interpretación tras el análisis. También permitirá al usuario el reporte de los resultados, además de otras funcionalidades que le permitan la navegación por los sectores del código que han sido modificados como efecto colateral de la edición de la cinta magnética original. Otro objetivo importante del proyecto ha sido la investigación de metodologías y técnicas de desarrollo de software para su posterior implementación, buscando con esto, una mayor eficiencia en la gestión del tiempo y una mayor calidad de software con el fin de garantizar su evolución y sostenibilidad en el futuro. Se ha hecho hincapié en las metodologías ágiles que han ido ganando relevancia en el sector de las tecnologías de la información en las últimas décadas, sustituyendo a metodologías clásicas como el desarrollo en cascada. Su flexibilidad durante el ciclo de vida del software, permite obtener mejores resultados cuando las especificaciones no están del todo definidas, ajustándose de este modo a las condiciones del proyecto. Resumiendo las especificaciones técnicas del software, C++ es el lenguaje de programación orientado a objetos con el que se ha desarrollado, utilizándose la tecnología MFC -Microsoft Foundation Classes- para la implementación. Es un proyecto MFC de tipo cuadro de dialogo,creado, compilado y publicado, con la herramienta de desarrollo integrado Microsoft Visual Studio 2010. La arquitectura con la que se ha estructurado es la arquetípica de tres capas, compuesta por la interfaz de usuario, capa de negocio y capa de acceso a datos. Se ha visto necesario configurar el proyecto con compatibilidad con CLR –Common Languages Runtime- para poder implementar la funcionalidad de creación de reportes. Acompañando a la aplicación informática, se presenta la memoria del proyecto y sus anexos correspondientes a los documentos EDRF –Especificaciones Detalladas de Requisitos funcionales-, EIU –Especificaciones de Interfaz de Usuario , DT -Diseño Técnico- y Guía de Usuario. SUMMARY. This dissertation, carried out by the telecommunications engineer Pedro M. Matamala Lucas, is in its final stage and is part of a larger project for the software of forensic video called SAVID. The purpose of the entire project is the creation of a software tool capable of analyzing video files that are coded and compressed by the DV -Digital Video- System. The objective of the analysis is to provide information on whether the magnetic tape shows signs of having been tampered with after the editing of the original recording, and also to show the user other relevant data and technical specifications of the video signal and audio. Therefore the user, forensic video analyst, will have information to help assess the originality of the content of the media that is subject to analysis. The specific objective of this final phase is the creation of the user interface of the software that provides information about the binary code of the significant sectors and also its interpretation after analysis. It will also allow the user to report the results, and other features that will allow browsing through the sections of the code that have been modified as a secondary effect of the original magnetic tape being tampered. Another important objective of the project is the investigation of methodologies and software development techniques to be used in deployment, with the aim of greater efficiency in time management and enhanced software quality in order to ensure its development and maintenance in the future. Agile methodologies, which have become important in the field of information technology in recent decades, have been used during the execution of the project, replacing classical methodologies such as Waterfall Development. The flexibility, as the result of using by agile methodologies, during the software life cycle, produces better results when the specifications are not fully defined, thus conforming to the initial conditions of the project. Summarizing the software technical specifications, C + + the programming language – which is object oriented and has been developed using technology MFC- Microsoft Foundation Classes for implementation. It is a project type dialog box, created, compiled and released with the integrated development tool Microsoft Visual Studio 2010. The architecture is structured in three layers: the user interface, business layer and data access layer. It has been necessary to configure the project with the support CLR -Common Languages Runtime – in order to implement the reporting functionality. The software application is submitted with the project report and its annexes to the following documents: Functional Requirements Specifications - Detailed User Interface Specifications, Technical Design and User Guide.

I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent

We describe the work on infusion of emotion into a limited-task autonomous spoken conversational agent situated in the domestic environment, using a need-inspired task-independent emotion model (NEMO). In order to demonstrate the generation of affect through the use of the model, we describe the work of integrating it with a natural-language mixed-initiative HiFi-control spoken conversational agent (SCA). NEMO and the host system communicate externally, removing the need for the Dialog Manager to be modified, as is done in most existing dialog systems, in order to be adaptive. The first part of the paper concerns the integration between NEMO and the host agent. The second part summarizes the work on automatic affect prediction, namely, frustration and contentment, from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach. The final part reports the evaluation results obtained from a user study, in which both versions of the agent (non-adaptive and emotionally-adaptive) were compared. The results provide substantial evidences with respect to the benefits of adding emotion in a spoken conversational agent, especially in mitigating users' frustrations and, ultimately, improving their satisfaction.

Enhancing Guideline-based decision support with distributed computation through local mobile application

We introduce the need for a distributed guideline-based decision sup-port (DSS) process, describe its characteristics, and explain how we implement-ed this process within the European Union?s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from the central DSS server, to the local DSS in the patient's mobile device, which then applies that portion, us-ing the mobile device's local resources. The mobile device sends a callback to the central DSS when it encounters a triggering pattern predefined in the pro-jected module, which leads to an appropriate predefined action by the central DSS, including sending a new projected module, or directly controlling the rest of the workflow. We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages of the cen-tral server and of the local mobile device.

Implementación de un entorno de mantenimiento centralizado para el diagnóstico y aislamiento de fallos en plataformas de sistemas modulares

En la actualidad gran parte de las industrias utilizan o desarrollan plataformas, las cuales integran un número cada vez más elevado de sistemas complejos. El mantenimiento centralizado permite optimizar el mantenimiento de estas plataformas, por medio de la integración de un sistema encargado de gestionar el mantenimiento de todos los sistemas de la plataforma. Este Trabajo Fin de Máster (TFM) desarrolla el concepto de mantenimiento centralizado para sistemas complejos, aplicable a plataformas formadas por sistemas modulares. Está basado en la creciente demanda de las diferentes industrias en las que se utilizan este tipo de plataformas, como por ejemplo la industria aeronáutica, del ferrocarril y del automóvil. Para ello este TFM analiza el Estado del Arte de los sistemas de mantenimiento centralizados en diferentes industrias, además desarrolla los diferentes tipos de arquitecturas de sistemas, las técnicas de mantenimiento aplicables, así como los sistemas y técnicas de mantenimiento basados en funciones de monitorización y auto diagnóstico denominadas Built-In-Test Equipment (BITE). Adicionalmente, este TFM incluye el desarrollo e implementación de un modelo de un Entorno de Mantenimiento Centralizado en LabVIEW. Este entorno está formado por el modelo de un Sistema Patrón, así como el modelo del Sistema de Mantenimiento Centralizado y la interfaces entre ellos. El modelo del Sistema de Mantenimiento Centralizado integra diferentes funciones para el diagnóstico y aislamiento de los fallos. Así mismo, incluye una función para el análisis estadístico de los datos de fallos almacenados por el propio sistema, con el objetivo de proporcionar capacidades de mantenimiento predictivo a los sistemas del entorno. Para la implementación del modelo del Entorno de Mantenimiento Centralizado se han utilizado recursos de comunicaciones vía TCP/IP, modelización y almacenamiento de datos en ficheros XML y generación automática de informes en HTML. ABSTRACT. Currently several industries are developing or are making use of multi system platforms. These platforms are composed by many complex systems. The centralized maintenance allows the maintenance optimization, integrating a maintenance management system. This system is in charge of managing the maintenance dialog with the different and multiple platforms. This Master Final Project (TFM) develops the centralized maintenance concept for platforms integrated by modular and complex systems. This TFM is based on the demand of the industry that uses or develops multi system platforms, as aeronautic, railway, and automotive industries. In this way, this TFM covers and analyzes several aspects of the centralized maintenance systems like the State of the Art, for several industries. Besides this work develops different systems architecture types, maintenance techniques, and techniques and systems based on Built-in-test Equipment functions. Additionally, this TFM includes a LabVIEW Centralized System Environment model. This model is composed by a Standard System, the Centralized Maintenance System and the corresponding interfaces. Several diagnostic and fault isolation functions are integrated on the Centralized Maintenance Systems, as well a statistic analysis function, that provides with predictive maintenance capacity, based on the failure data stored by the system. Among others, the following resources have been used for the Centralized System Environment model development: TCP/IP communications, XML file data modelization and storing, and also automatic HTML reports generation.

NEMAWASHI: Attaining Value Stream alignment within Complex Organizational Networks

In the process of value creation, organizations perform an intense intra-organizational dialog through which internal VS alignment is achieved towards certain strategic objectives. Within the context of complex organizational networks, were goal conflicts are preprogrammed through incentive structures, VS alignment as legitimation of action towards strategic goals has special interest. On the one hand it facilitates the access to necessary resources for goal achievement and on the other it increases the sustainability and supports commonly agreed upon decisions leading to success. This paper provides a winnerless process (WLP) differential equations model for quantifying intra-organizational value stream (VS) alignment dynamics that can help design sustainable lean management solutions. This paper presents ongoing research results that show how the model was implemented in one industrial facility.

De la ciudad a la estancia: casas con patio en la vivienda social madrileña (1956-1961). Saénz de Oíza y Vázquez de Castro

La tesis aborda el estudio de la casa patio y su relación con todas las escalas del proyecto, dentro del ámbito de la vivienda colectiva desarrollada en Madrid desde el comienzo de la década de los cincuenta hasta principio de los sesenta. Se investiga su vínculo con la ciudad a partir de la configuración de la trama y los espacios públicos, la organización de la casa en torno a un vacío y las relaciones espaciales entre el patio exterior y las estancias interiores. Mediante el análisis de los diferentes ejemplos existentes de casas con patio en el contexto señalado, se realiza la selección de los casos de estudio de esta investigación. Los proyectos analizados se organizan a partir del trabajo desarrollado por los arquitectos Francisco Javier Sáenz de Oíza y Antonio Vázquez de Castro, liderando equipos más amplios y como representantes de la construcción definitiva de un verdadero lenguaje moderno en la arquitectura española. Cada uno de los proyectos, estructurados en dos apartados para cada uno de los autores, muestran de forma particular, la evolución de las herramientas arquitectónicas empleadas, a partir de la casa patio, en las distintas escalas de trabajo. En los proyectos de Oíza, se analiza en primer lugar la definición de un modelo mínimo y racional de vivienda con patio en el poblado de absorción de Fuencarral “A” (1956) y con el prototipo del concurso de vivienda experimental (1956). A continuación se estudia, en el Poblado Dirigido de Entrevías (1956), la construcción de la ciudad horizontal a partir del patio como elemento estructurante de las tramas urbanas. Las obras de Vázquez de Castro muestran inicialmente la incorporación del patio como una estancia privada más de la casa con la definición de un modelo tipológico en “L” en el Poblado Dirigido de Caño Roto (1956). Finalmente, se analiza el desarrollo de nuevas y complejas estructuras urbanas en forma de tapiz en el proyecto de la Unidad Vecinal de Costa Rica (1961). Los ejemplos, antes descritos, protagonizan un proceso delimitado desde la importación y adaptación de los modelos de vivienda europeos producidos en el periodo de entreguerras, con un significativo retraso; hasta la apuesta por sistemas complejos como el “mat-building”, en diálogo directo, con los proyectos de las nuevas corrientes arquitectónicas internacionales de principios de los sesenta. El estudio y análisis de los ejemplos se realiza mediante la disección pormenorizada de cada uno de ellos, en los sistemas arquitectónicos que establecen la relación del patio con las tres escalas objeto de estudio: la ciudad, la casa y la estancia. Para ello se realiza una reconstrucción de los proyectos mediante la elaboración de una nueva documentación gráfica a partir de los planos y fotografías originales. Finalmente, a partir de los temas arquitectónicos más significativos extraídos del análisis de los casos de estudio y organizados en función de las distintas escalas de proyecto, se realiza una comparación transversal, a modo de conclusiones, respecto a otros ejemplos de similares características del panorama internacional de casas con patio. De esta forma se produce una síntesis sobre los distintos mecanismos que sirvieron para construir, a partir de la tradición del patio en la casa, la vivienda moderna. ABSTRACT The thesis deals the study of the house with courtyard and its relation with all the scales of the project inside the ambience of the collective housing developed in Madrid from the beginning of the fifties up to beginning of the sixties. This document investigates its link with the city from the configuration of the weave and the public spaces, the organization of the house around a void and the spatial relations between the exterior courtyard and the interior spaces. The selection of the case studies of this research is made Through the analysis of the different existing examples of courtyard houses in this defined context. The analyzed projects are organized from the work developed by the architects Francisco Javier Sáenz de Oíza and Antonio Vázquez de Castro, leading wider teams and as representatives of the definitive construction of a real modern language in the Spanish architecture. Each of the projects, structured in two sections to each one of the authors, show in a particular way, the evolution of the architectural tools employed, from the house with courtyard, at different scales of work. In the projects of Oiza, it´s analyced the definition of a minimum and rational model of a house with courtyard in the absorption village of Fuencarral “A” (1956) and with the experimental housing contest prototype (1956). Next, in “el Poblado Dirigido de Entrevías” (1956), the construction of the horinzontal city with the courtyard as a structuring element of the urban weave will be studied. The works of Vázquez de Castro initially show the incorporation of the courtyard as another private area of the house with the typological model definition as an “L” in El Poblado Dirigido de Caño Roto (1956). Finally, the thesis analyzes the development of new and complex urban structures with a mat-building shape in the project of Unidad Vecinal de Costa Rica (1961). The examples described above, starring a process delimited from the import and the adaptation of european housing models produced in the interwar period, with a significant delay; until the opt for complex systems such as the “mat-building”, in direct dialog, with the projects of the new architectural international flows of the beginning of the sixties. The study and analysis of the examples is made by the dissection of them, in the architectural systems that establish the relation of the courtyard with the three scales of the study: the city, the house and the stay. To reach this objetive this document reconstructs the projects making a new graphic documentation from the original maps and photos. Finally, from the most important architectural issues drawn from the analysis of the case studies and organised by the different scales of project, as conclussions, a cross comparison of similar examples of houses with courtyard around the world is made. This produces a synthesis about the different mechanisms that served to build, from the tradition of the courtyard in the house, the modern housing.

Emotion transplantation through adaptation in HMM-based speech synthesis

This paper proposes an emotion transplantation method capable of modifying a synthetic speech model through the use of CSMAPLR adaptation in order to incorporate emotional information learned from a different speaker model while maintaining the identity of the original speaker as much as possible. The proposed method relies on learning both emotional and speaker identity information by means of their adaptation function from an average voice model, and combining them into a single cascade transform capable of imbuing the desired emotion into the target speaker. This method is then applied to the task of transplanting four emotions (anger, happiness, sadness and surprise) into 3 male speakers and 3 female speakers and evaluated in a number of perceptual tests. The results of the evaluations show how the perceived naturalness for emotional text significantly favors the use of the proposed transplanted emotional speech synthesis when compared to traditional neutral speech synthesis, evidenced by a big increase in the perceived emotional strength of the synthesized utterances at a slight cost in speech quality. A final evaluation with a robotic laboratory assistant application shows how by using emotional speech we can significantly increase the students’ satisfaction with the dialog system, proving how the proposed emotion transplantation system provides benefits in real applications.