DOCSLIB.ORG

Multi-Platform Implementation of Speech Apis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

MULTI-PLATFORM IMPLEMENTATION OF SPEECH APIS A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Karen Manukyan, B.S., M.S. ***** The Ohio State University 2008 Master’s Examination Committee: Approved by Dr. Eitan Gurari, Adviser Dr. Rajiv Ramnath Adviser Graduate Program in Computer Science and Engineering °c Copyright by Karen Manukyan 2008 ABSTRACT We live in an era of rapidly developing information technologies. Computers and the internet make finding information easier than ever before. Unfortunately not everyone can fully benefit from this: a vast amount of information is available in only textual form, making it difficult or even impossible for visually impaired and dyslexic persons to access it. Special tools for vocalizing textual information can be of great assistance to them, and a valuable tool for sighted people as well. The goal of this project is to design and implement speech APIs that are easy to extend and use with a variety of speech engines on different operating systems. JSAPI (Java Speech API) serves as a base for the project. Proposed by Sun Microsystems, JSAPI consists of a set of well defined interfaces for Java classes and the speech markup language JSML. No implementation of JSAPI is provided by Sun. The few available implementations of JSAPI, firstly, do not have the full set of features that may be needed for speech enabled applications and, secondly, are limited to a specific speech engine and operating system. This project takes significant steps towards solving these problems. ii Dedicated to my fianc´ee, parents and brother iii ACKNOWLEDGMENTS I want to express my gratitude to Dr. Eitan Gurari for his support in the course of the project. Not only is he an excellent adviser, but also a wonderful person. I want thank my fianc´ee Katie for helping me to proofread the thesis and, of course, for moral support. I also want to thank Dr. Rajiv Ramnath and my friends, James Dinan, Issam Safa, Oleksiy Busaryev, Oleg Mishchenko and Sheetal Ghadse, for coming to the thesis defense, the last step towards my graduation. iv VITA July 30, 1980 ...............................Born - Odessa, Ukraine September 1997 - June 2001 ................B.S. Computer Science, Odessa National Polytechnic Univer- sity, Odessa, Ukrane. September 2001 - June 2002 ................M.S. Computer Science, Odessa National Polytechnic Univer- sity, Odessa, Ukrane. June 2005 - June 2008 ......................Graduate Research Associate, The Ohio State University. FIELDS OF STUDY Major Field: Computer Science and Engineering v TABLE OF CONTENTS Page Abstract....................................... ii Dedication...................................... iii Acknowledgments.................................. iv Vita......................................... v ListofFigures ................................... viii Chapters: 1. Introduction.................................. 1 1.1 Motivation ............................... 1 1.2 Thesisstatement ............................ 3 1.3 Results ................................. 3 1.4 Organizationofthethesis . 3 2. Background.................................. 5 2.1 SpeechMarkupLanguages. 5 2.1.1 SAPITTSMarkupLanguage . 5 2.1.2 JSML .............................. 7 2.1.3 SSML.............................. 8 2.1.4 STML.............................. 9 2.1.5 SABLE ............................. 11 2.1.6 AuralCSS ........................... 12 2.2 SpeechEngines............................. 14 2.2.1 Microsoft Speech Engine . 15 vi 2.2.2 Festival ............................. 17 2.2.3 Espeak ............................. 17 2.2.4 MacinTalk synthesizer . 19 2.3 SpeechAPIs .............................. 21 2.3.1 JSAPI.............................. 21 2.3.2 SpeechDispatcher ....................... 24 2.4 JSAPIImplementations . 28 2.4.1 TalkingJava .......................... 28 2.4.2 FreeTTS ............................ 28 2.4.3 Summary ............................ 28 3. Project Design and Implementation . 29 3.1 Speech API and Markup Language Selection . 29 3.2 SpeechEnginesSelection. 30 3.3 Challenges ............................... 31 3.3.1 Multi-Platform Implementation . 31 3.3.2 Inter-Language Communication . 32 3.3.3 Differences in Speech Engines’ APIs and Markup Languages 32 3.3.4 Differences in Speech Engines’ Events Systems . 33 3.4 ArchitectureOverview . 33 3.5 Implementation Overview . 34 3.6 Conclusion ............................... 40 4. FutureWork ................................. 41 4.1 MoreCompleteJSAPISupport . 41 4.2 Other Speech Engines and Platforms Support . 42 4.3 OtherSpeechMarkupLanguagesSupport . 42 4.4 Transforming source code to the literate programming style . 43 Appendices: A. CompilationandInstallation. 44 A.1 Windows ................................ 44 A.1.1 BuildingtheLibrary . 44 A.1.2 InstallingtheLibrary . 45 A.2 Linux .................................. 46 A.2.1 BuildingtheLibrary . 46 A.2.2 InstallingtheLibrary . 47 vii Bibliography .................................... 48 viii LIST OF FIGURES Figure Page 3.1 High-levelarchitecture. 34 3.2 Adapter elements and Java – C++ interface. 36 ix CHAPTER 1 INTRODUCTION Speech synthesis is a valuable feature for many computer applications. For some of them, such as accessibility tools and applications for the visually impaired, it is required. While plain text synthesis may be sufficient for some applications, others may require more sophisticated speech synthesis mechanisms, such as setting various vocal properties of the synthesized speech and allowing the user to interact with and control the synthesis and browsing processes. 1.1 Motivation A The tex4ht tool is available for translating LTEX files into different hypertext formats. The hypertext code captures the logical structures of the documents, and can be provided with information on how to render the data visually and auditorially. Various powerful browsers for visual representation of hypertext documents exist. Some of the browsers have support (natively or with the help of plug-ins [15]) for highly structural material, such as mathematical formulas, that cannot be effectively presented in a plain text format. Hovewer, not many advanced tools are offered for voice browsing. 1 Most of the available voice tools are intended for vocalizing plain text and HTML and are not sufficiently sophisticated to handle highly structural content [13, 14, 24]. Some of the more advanced screen readers, for instance JAWS [10], can use other tools to provide support for certain kinds of highly structured content. Among the the few speech tools that work with highly structural material are found MathPlayer [11] and Emacspeak [4]. MathPlayer can not be easily used to add MathML support to any application, as it was designed as Internet Explorer plug- in. JAWS, for instance, can use MathPlayer’s functionality only indirectly through Internet Explorer. Thus, MathML support in JAWS is limited to web-pages loaded in Internet Explorer with the MathPlayer plugin installed. Not only is MathPlayer limited to Internet Explorer and Windows OS, but its support of markup languages is also limited to MathML only. Analogously, Emacspeak can be used only within Emacs, which provides the con- trol and navigation mechanism, but requires external browsers to serve the markup and, feature-wise, is not flexible enough for tailoring to deal with highly structured code. Voice browsers can greatly assist visually impaired people, especially those who need access to information that is too complex to be presented in plain text format. The following are desirable properties in voice browsers: • Interactivity: users should be able to control and navigate the process of speech synthesis. • Understanding the structure of documents: the voice browsers should under- stand the underlying structure of the hypertext documents and should be able to provide efficient navigation capabilities to the users. 2 • Adjustable speech properties: Various voice properties, such as: volume, rate, pitch, etc. should be adjustable to provide for optimal user experience. 1.2 Thesis statement The importance of advanced voice browsers has been illustrated in the sections above. Powerful and easy to use speech API is an essential component for facilitating the development of sophisticated voice browsers. A speech API implementation that can easily be extended to work with different speech synthesizers on a variety of operating systems will simplify the creation of cross-platform highly configurable voice browsers. Unfortunately, no such speech API implementations exist. The main focus of this thesis is the design and development of a multi-platform Java Speech API implementation which can be used with different speech engines. The thesis also reviews existing speech synthesis software components and markup languages that can be used for the implementation of Java Speech API. 1.3 Results The result of this project is an open source library, implementation of the speech synthesis part of the Java Speech API, for Linux and Windows operating systems. This library can be used by any application that needs speech synthesis capabilities. The library can also be easily extended for use with speech engines other than those already supported. 1.4 Organization of the thesis The thesis is organized as follows: Chapter 2 overviews existing speech markup languages, speech synthesizers and speech APIs. Chapter 3 presents the main design 3 and implementation decisions made in the process of working
Recommended publications
  • Current Perspectives on Linux Accessibility Tools for Visually Impaired Users

    Current Perspectives on Linux Accessibility Tools for Visually Impaired Users

    ЕЛЕКТРОННО СПИСАНИЕ „ИКОНОМИКА И КОМПЮТЪРНИ НАУКИ“, БРОЙ 2, 2019, ISSN 2367-7791, ВАРНА, БЪЛГАРИЯ ELECTRONIC JOURNAL “ECONOMICS AND COMPUTER SCIENCE”, ISSUE 2, 2019, ISSN 2367-7791, VARNA, BULGARIA Current Perspectives on Linux Accessibility Tools for Visually Impaired Users Radka NACHEVA1 1 University of Economics, Varna, Bulgaria [email protected] Abstract. The development of user-oriented technologies is related not only to compliance with standards, rules and good practices for their usability but also to their accessibility. For people with special needs, assistive technologies have been developed to ensure the use of modern information and communication technologies. The choice of a particular tool depends mostly on the user's operating system. The aim of this research paper is to study the current state of the accessibility software tools designed for an operating system Linux and especially used by visually impaired people. The specific context of the considering of the study’s objective is the possibility of using such technologies by Bulgarian users. The applied approach of the research is content analysis of scientific publications, official documentation of Linux accessibility tools, and legal provisions and classifiers of international organizations. The results of the study are useful to other researchers who work in the area of accessibility of software technologies, including software companies that develop solutions for visually impaired people. For the purpose of the article several tests are performed with the studied tools, on the basis of which the conclusions of the study are made. On the base of the comparative study of assistive software tools the main conclusion of the paper is made: Bulgarian visually impaired users are limited to work with Linux operating system because of the lack of the Bulgarian language support.
  • A Second Look at What High School Students Who Are Blind Should Know About Technology

    A Second Look at What High School Students Who Are Blind Should Know About Technology

    A Second Look at What High School Students Who are Blind Should Know About Technology Stacy M. Kelly, Gaylen Kapperman Visual Disabilities Program, Northern Illinois University [email protected], [email protected] Abstract This article presents an overview of mainstream and assistive technology skills and tools to be mastered by high school students who are blind in preparation for postsecondary education. It is an update to an article written on this exact topic fifteen years ago. The recommendations focus entirely on what is necessary in today’s high-tech society for high school learners who read and write braille competently (e.g., read braille tactually at a minimum rate of 30 words per minute). The number of recommendations from the original article in 2004 has more than doubled. There were only 14 recommendations in 2004. In 2018 there are more than 30 recommendations for students who are blind to relate to their use of assistive technology. The Certified Assistive Technology Instructional Specialist for People with Visual Impairments (CATIS) provides a Scope of Practice and Body of Knowledge that is sufficient for supporting the substantial growth in the assistive technology-related knowledge, skills, and tools recommended in this article. Keywords Assistive technology, blind, certification, education, visually impaired Journal on Technology and Persons with Disabilities Santiago, J. (Eds): CSUN Assistive Technology Conference © 2018 California State University, Northridge A Second Look at What High School Students Who are Blind Should Know About Technology 386 Introduction This article represents a “second look” at the issue of competence in the use of appropriate technology to be mastered by students who are blind and who may be enrolling in some type of postsecondary educational program.
  • Emacspeak — the Complete Audio Desktop User Manual

    Emacspeak — the Complete Audio Desktop User Manual

    Emacspeak | The Complete Audio Desktop User Manual T. V. Raman Last Updated: 19 November 2016 Copyright c 1994{2016 T. V. Raman. All Rights Reserved. Permission is granted to make and distribute verbatim copies of this manual without charge provided the copyright notice and this permission notice are preserved on all copies. Short Contents Emacspeak :::::::::::::::::::::::::::::::::::::::::::::: 1 1 Copyright ::::::::::::::::::::::::::::::::::::::::::: 2 2 Announcing Emacspeak Manual 2nd Edition As An Open Source Project ::::::::::::::::::::::::::::::::::::::::::::: 3 3 Background :::::::::::::::::::::::::::::::::::::::::: 4 4 Introduction ::::::::::::::::::::::::::::::::::::::::: 6 5 Installation Instructions :::::::::::::::::::::::::::::::: 7 6 Basic Usage. ::::::::::::::::::::::::::::::::::::::::: 9 7 The Emacspeak Audio Desktop. :::::::::::::::::::::::: 19 8 Voice Lock :::::::::::::::::::::::::::::::::::::::::: 22 9 Using Online Help With Emacspeak. :::::::::::::::::::: 24 10 Emacs Packages. ::::::::::::::::::::::::::::::::::::: 26 11 Running Terminal Based Applications. ::::::::::::::::::: 45 12 Emacspeak Commands And Options::::::::::::::::::::: 49 13 Emacspeak Keyboard Commands. :::::::::::::::::::::: 361 14 TTS Servers ::::::::::::::::::::::::::::::::::::::: 362 15 Acknowledgments.::::::::::::::::::::::::::::::::::: 366 16 Concept Index :::::::::::::::::::::::::::::::::::::: 367 17 Key Index ::::::::::::::::::::::::::::::::::::::::: 368 Table of Contents Emacspeak :::::::::::::::::::::::::::::::::::::::::: 1 1 Copyright :::::::::::::::::::::::::::::::::::::::
  • Rečové Interaktívne Komunikačné Systémy

    Rečové Interaktívne Komunikačné Systémy

    Rečové interaktívne komunikačné systémy Matúš Pleva, Stanislav Ondáš, Jozef Juhár, Ján Staš, Daniel Hládek, Martin Lojka, Peter Viszlay Ing. Matúš Pleva, PhD. Katedra elektroniky a multimediálnych telekomunikácií Fakulta elektrotechniky a informatiky Technická univerzita v Košiciach Letná 9, 04200 Košice [email protected] Táto učebnica vznikla s podporou Ministerstvo školstva, vedy, výskumu a športu SR v rámci projektu KEGA 055TUKE-04/2016. c Košice 2017 Názov: Rečové interaktívne komunikačné systémy Autori: Ing. Matúš Pleva, PhD., Ing. Stanislav Ondáš, PhD., prof. Ing. Jozef Juhár, CSc., Ing. Ján Staš, PhD., Ing. Daniel Hládek, PhD., Ing. Martin Lojka, PhD., Ing. Peter Viszlay, PhD. Vydal: Technická univerzita v Košiciach Vydanie: prvé Všetky práva vyhradené. Rukopis neprešiel jazykovou úpravou. ISBN 978-80-553-2661-0 Obsah Zoznam obrázkov ix Zoznam tabuliek xii 1 Úvod 14 1.1 Rečové dialógové systémy . 16 1.2 Multimodálne interaktívne systémy . 19 1.3 Aplikácie rečových interaktívnych komunikačných systémov . 19 2 Multimodalita a mobilita v interaktívnych systémoch s rečo- vým rozhraním 27 2.1 Multimodalita . 27 2.2 Mobilita . 30 2.3 Rečový dialógový systém pre mobilné zariadenia s podporou multimodality . 31 2.3.1 Univerzálne riešenia pre mobilné terminály . 32 2.3.2 Projekt MOBILTEL . 35 3 Parametrizácia rečových a audio signálov 40 3.1 Predspracovanie . 40 3.1.1 Preemfáza . 40 3.1.2 Segmentácia . 41 3.1.3 Váhovanie oknovou funkciou . 41 3.2 Spracovanie rečového signálu v spektrálnej oblasti . 41 3.2.1 Lineárna predikčná analýza . 43 3.2.2 Percepčná Lineárna Predikčná analýza . 43 3.2.3 RASTA metóda . 43 3.2.4 MVDR analýza .
  • Development of Educational Materials

    Development of Educational Materials

    InSIDE: Including Students with Impairments in Distance Education Delivery Development of educational DEV2.1 materials Eleni Koustriava1, Konstantinos Papadopoulos1, Konstantinos Authors Charitakis1 Partner University of Macedonia (UOM)1, Johannes Kepler University (JKU) Work Package WP2: Adapted educational material Issue Date 31-05-2020 Report Status Final This project (598763-EPP-1-2018-1-EL-EPPKA2-CBHE- JP) has been co-funded by the Erasmus+ Programme of the European Commission. This publication [communication] reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein Project Partners University of National and Macedonia, Greece Kapodistrian University of Athens, Coordinator Greece Johannes Kepler University of Aboubekr University, Austria Belkaid Tlemcen, Algeria Mouloud Mammeri Blida 2 University, Algeria University of Tizi-Ouzou, Algeria University of Sciences Ibn Tofail university, and Technology of Oran Morocco Mohamed Boudiaf, Algeria Cadi Ayyad University of Sfax, Tunisia University, Morocco Abdelmalek Essaadi University of Tunis El University, Morocco Manar, Tunisia University of University of Sousse, Mohammed V in Tunisia Rabat, Morocco InSIDE project Page WP2: Adapted educational material 2018-3218 /001-001 [2|103] DEV2.1: Development of Educational Materials Project Information Project Number 598763-EPP-1-2018-1-EL-EPPKA2-CBHE-JP Grant Agreement 2018-3218 /001-001 Number Action code CBHE-JP Project Acronym InSIDE Project Title
  • Emacspeak User's Guide

    Emacspeak User's Guide

    Emacspeak User's Guide Jennifer Jobst Revision History Revision 1.3 July 24,2002 Revised by: SDS Updated the maintainer of this document to Sharon Snider, corrected links, and converted to HTML Revision 1.2 December 3, 2001 Revised by: JEJ Changed license to GFDL Revision 1.1 November 12, 2001 Revised by: JEJ Revision 1.0 DRAFT October 19, 2001 Revised by: JEJ This document helps Emacspeak users become familiar with Emacs as an audio desktop and provides tutorials on many common tasks and the Emacs applications available to perform those tasks. Emacspeak User's Guide Table of Contents 1. Legal Notice.....................................................................................................................................................1 2. Introduction.....................................................................................................................................................2 2.1. What is Emacspeak?.........................................................................................................................2 2.2. About this tutorial.............................................................................................................................2 3. Before you begin..............................................................................................................................................3 3.1. Getting started with Emacs and Emacspeak.....................................................................................3 3.2. Emacs Command Conventions.........................................................................................................3
  • Embed Text to Speech in Website

    Embed Text to Speech in Website

    Embed Text To Speech In Website KingsleyUndefended kick-off or pinchbeck, very andantino. Avraham Plagued never and introspects tentier Morlee any undercurrent! always outburn Multistorey smugly andOswell brines except his herenthymemes. earthquake so accelerando that You in speech recognition Uses premium Acapela TTS voices with license for battle use my the. 21 Best proud to Speech Software 2021 Free & Paid Online TTS. Add the method to deity the complete API endpoint for your matter The most example URL represents a crop to Speech instance group is. Annyang is a JavaScript SpeechRecognition library that makes adding voice. The speech recognition portion of the WebSpeech API allows websites to enable. A high-quality unlimited TTS voice app that runs in your Chrome browser Tool for creating voice from despair or Google Drive file. Speech synthesis is so artificial production of human speech A computer system used for this claim is called a speech computer or speech synthesizer and telling be implemented in software building hardware products A text-to-speech TTS system converts normal language text into speech. Which reads completely consume it? How we Add run to Speech in WordPress WPBeginner. The divine tool accepts both typed and handwritten input and supports. RingCentral Embeddable Voice into Text Widget. It is to in your people. Most of the embed the files, voice from gallo romance, embed text to speech in website where the former is built in the pronunciation for only in the spelling with. The type an external program, and continue to a few steps in your blog publishers can be spoken version is speech text? Usted tiene teclear cualquier texto, website to in text speech recognition is the home with a female voice? The Chrome extension lets you highlight the text tag any webpage to hear even read aloud.
  • A Simplified Overview of Text-To-Speech Synthesis

    A Simplified Overview of Text-To-Speech Synthesis

    Proceedings of the World Congress on Engineering 2014 Vol I, WCE 2014, July 2 - 4, 2014, London, U.K. A Simplified Overview of Text-To-Speech Synthesis J. O. Onaolapo, F. E. Idachaba, J. Badejo, T. Odu, and O. I. Adu open-source software while SpeakVolumes is commercial. It must however be noted that Text-To-Speech systems do Abstract — Computer-based Text-To-Speech systems render not sound perfectly natural due to audible glitches [4]. This is text into an audible form, with the aim of sounding as natural as possible. This paper seeks to explain Text-To-Speech synthesis because speech synthesis science is yet to capture all the in a simplified manner. Emphasis is placed on the Natural complexities and intricacies of human speaking capabilities. Language Processing (NLP) and Digital Signal Processing (DSP) components of Text-To-Speech Systems. Applications and II. MACHINE SPEECH limitations of speech synthesis are also explored. Text-To-Speech system processes are significantly different Index Terms — Speech synthesis, Natural Language from live human speech production (and language analysis). Processing, Auditory, Text-To-Speech Live human speech production depends of complex fluid mechanics dependent on changes in lung pressure and vocal I. INTRODUCTION tract constrictions. Designing systems to mimic those human Text-To-Speech System (TTS) is a computer-based constructs would result in avoidable complexity. system that automatically converts text into artificial A In general terms, a Text-To-Speech synthesizer comprises human speech [1]. Text-To-Speech synthesizers do not of two parts; namely the Natural Language Processing (NLP) playback recorded speech; rather, they generate sentences unit and the Digital Signal Processing (DSP) unit.
  • Commercial Tools in Speech Synthesis Technology

    Commercial Tools in Speech Synthesis Technology

    International Journal of Research in Engineering, Science and Management 320 Volume-2, Issue-12, December-2019 www.ijresm.com | ISSN (Online): 2581-5792 Commercial Tools in Speech Synthesis Technology D. Nagaraju1, R. J. Ramasree2, K. Kishore3, K. Vamsi Krishna4, R. Sujana5 1Associate Professor, Dept. of Computer Science, Audisankara College of Engg. and Technology, Gudur, India 2Professor, Dept. of Computer Science, Rastriya Sanskrit VidyaPeet, Tirupati, India 3,4,5UG Student, Dept. of Computer Science, Audisankara College of Engg. and Technology, Gudur, India Abstract: This is a study paper planned to a new system phonetic and prosodic information. These two phases are emotional speech system for Telugu (ESST). The main objective of usually called as high- and low-level synthesis. The input text this paper is to map the situation of today's speech synthesis might be for example data from a word processor, standard technology and to focus on potential methods for the future. ASCII from e-mail, a mobile text-message, or scanned text Usually literature and articles in the area are focused on a single method or single synthesizer or the very limited range of the from a newspaper. The character string is then preprocessed and technology. In this paper the whole speech synthesis area with as analyzed into phonetic representation which is usually a string many methods, techniques, applications, and products as possible of phonemes with some additional information for correct is under investigation. Unfortunately, this leads to a situation intonation, duration, and stress. Speech sound is finally where in some cases very detailed information may not be given generated with the low-level synthesizer by the information here, but may be found in given references.
  • Supported Reading Software

    Supported Reading Software

    Readers: Hardware & Software AMIS is a DAISY 2 & 3 playback software application for DTBs. Features include navigation by section, sub-section, page, and phrase; bookmarking; customize font, color; control voice rate and volume; navigation shortcuts; two views. http://www.daisy.org/amis?q=project/amis Balabolka is a text-to-speech (TTS) program. All computer voices installed on a system are available to Balabolka. On-screen text can be saved as a WAV, MP3, OGG or WMA file. The program can read clipboard content, view text from DOC, RTF, PDF, FB2 and HTML files, customize font and background color, control reading from the system tray or by global hotkeys. It can also be run from a flash drive. http://www.cross-plus- a.com/balabolka.htm BeBook offers four stand-alone e-book reader devices, from a mini model with a 5" screen to a wireless model with Wi-Fi capability. BeBook supports over 20 file formats, including Word, ePUB, PDF, Text, Mobipocket, HTML, JPG, and MP3. It has a patented Vizplex screen and 512 MB internal memory (which can store over 1,000 books) while external memory can be used with an SD card. Features include the ability to adjust fonts and font sizes, bookmarking, 9 levels of magnification with PDF sources, and menu support in 15 languages. http://mybebook.com/ Blio “is a reading application that presents e-books just like the printed version, in full color … with …features” and allows purchased books to be used on up to 5 devices with “reading views, including text-only mode, single page, dual page, tiled pages, or 3D ‘book view’” (from the web site).
  • O Software Livre Como Alternativa Para a Inclusão Digital Do Deficiente Visual

    O Software Livre Como Alternativa Para a Inclusão Digital Do Deficiente Visual

    Universidade Estadual de Campinas Faculdade de Engenharia Elétrica e de Computação O Software Livre como Alternativa para a Inclusão Digital do Deficiente Visual Autor: Samer Eberlin Orientador: Prof. Dr. Luiz César Martini Dissertação de Mestrado apresentada à Facul- dade de Engenharia Elétrica e de Computação da Universidade Estadual de Campinas como parte dos requisitos para obtenção do título de Mestre em Engenharia Elétrica. Banca Examinadora José Raimundo de Oliveira, Dr. DCA/FEEC/Unicamp Luiz César Martini, Dr. DECOM/FEEC/Unicamp Rita de Cassia Ietto Montilha, Dra. CEPRE/FCM/Unicamp Yuzo Iano, Dr. DECOM/FEEC/Unicamp Campinas, SP – Brasil Abril/2006 FICHA CATALOGRÁFICA ELABORADA PELA BIBLIOTECA DA ÁREA DE ENGENHARIA E ARQUITETURA - BAE - UNICAMP Eberlin, Samer Eb37s O software livre como alternativa para a inclusão digital do deficiente visual / Samer Eberlin. −−Campinas, SP: [s.n.], 2006. Orientador: Luiz César Martini. Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação. 1. Acessibilidade. 2. Tecnologia educacional. 3. Inclusão digital. 4. Software livre. 5. Software de comunicação. 6. Síntese da voz. I. Martini, Luiz César. II. Universidade Estadual de Campinas. Faculdade de Engenharia Elétrica e de Computação. III. Título. Titulo em Inglês: The free software as an alternative for digital cohesion of visually impaired people Palavras-chave em Inglês: Accessibility, Assistive technology, Digital cohesion, Free software, Screen reader, Voice synthesizer Área de concentração: Telecomunicações e Telemática Titulação: Mestre em Engenharia Elétrica Banca examinadora: José Raimundo de Oliveira, Rita de Cássia Ietto Montilha e Yuzo Iano Data da defesa: 19/04/2006 ii Resumo A acelerada difusão do software “livre”, tanto no Brasil como no exterior, vem se mos- trando cada vez mais evidente nos mais diversos âmbitos (governo, empresas, escolas, etc.).
  • Installing Emacspeak HOWTO

    Installing Emacspeak HOWTO

    Installing Emacspeak HOWTO Jennifer Jobst James Van Zandt <[email protected]> Revision History Revision 1.1 July 23, 2002 SDS Updated the maintainer of this document to Sharon Snider, corrected links, and converted to XML. Revision 1.0 December 4, 2001 JEJ First release Revision 1.0 DRAFT November 9, 2001 JEJ DRAFT Revision Emacspeak HOWTO 1996-2001 JVZ Previously, this document was known as the Emacspeak HOW- TO, and was written and maintained by Mr. James Van Zandt. Abstract This document contains the installation instructions for the Emacspeak audio desktop application for Linux. Please send any comments, or contributions via e-mail to Sharon Snider [mailto:[email protected]]. This docu- ment will be updated regularly with new contributions and suggestions. Table of Contents Legal Notice ...................................................................................................................... 2 Introduction ........................................................................................................................ 2 Documentation Conventions .................................................................................................. 2 Requirements ...................................................................................................................... 2 Linux Distributions ...................................................................................................... 2 Emacs ......................................................................................................................