Introducing Accessibility Features in Authoring
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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. -
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 . -
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
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. -
Magic Quadrant for Interactive Voice Response Systems and Enterprise Voice Portals, 2008
Magic Quadrant for Interactive Voice Response Systems and Enterprise Voice Portals, 2008 Gartner RAS Core Research Note G00154201, Steve Cramoysan, Rich Costello, 18 February 2008 RA1 05192008 Organizations are increasingly adopting voice response solutions based on Internet standards and a voice portal architecture. Leading vendors are improving integration between voice self-service and live-agent functions, and reducing the complexity of developing and operating solutionOrganizations are increasingly adopting voice response solutions based on Internet standards and a voice portal architecture. Leading vendors are improving integration between voice self-service and live-agent functions, and reducing the complexity of developing and operating solutions. WHAT YOU NEED TO KNOW Providing self-service functionality is an important strategy that will help call center managers balance costs and quality of service. Leading companies require their customer service operations to provide increased automation and smooth integration from automated self- service to live-agent-handled tasks. They also need tighter integration between channels, and the ability to respond to the fast-changing application needs of the call center business. These business drivers are, in turn, leading to greater use of speech recognition and a shift to standards-based platforms and Web-based architectures for voice portals. They are also increasing the need for improved tools to enable call center staff to reconfigure applications without the help of technical staff. Functional differences between vendor platform products will erode, and vendor consolidation will continue. Differentiation will be based more often on integration in two directions. First, voice response is becoming a part of the call center portfolio, with the routing function and voice response increasingly being sourced and integrated by the same vendor. -
Masterarbeit
Masterarbeit Erstellung einer Sprachdatenbank sowie eines Programms zu deren Analyse im Kontext einer Sprachsynthese mit spektralen Modellen zur Erlangung des akademischen Grades Master of Science vorgelegt dem Fachbereich Mathematik, Naturwissenschaften und Informatik der Technischen Hochschule Mittelhessen Tobias Platen im August 2014 Referent: Prof. Dr. Erdmuthe Meyer zu Bexten Korreferent: Prof. Dr. Keywan Sohrabi Eidesstattliche Erklärung Hiermit versichere ich, die vorliegende Arbeit selbstständig und unter ausschließlicher Verwendung der angegebenen Literatur und Hilfsmittel erstellt zu haben. Die Arbeit wurde bisher in gleicher oder ähnlicher Form keiner anderen Prüfungsbehörde vorgelegt und auch nicht veröffentlicht. 2 Inhaltsverzeichnis 1 Einführung7 1.1 Motivation...................................7 1.2 Ziele......................................8 1.3 Historische Sprachsynthesen.........................9 1.3.1 Die Sprechmaschine.......................... 10 1.3.2 Der Vocoder und der Voder..................... 10 1.3.3 Linear Predictive Coding....................... 10 1.4 Moderne Algorithmen zur Sprachsynthese................. 11 1.4.1 Formantsynthese........................... 11 1.4.2 Konkatenative Synthese....................... 12 2 Spektrale Modelle zur Sprachsynthese 13 2.1 Faltung, Fouriertransformation und Vocoder................ 13 2.2 Phase Vocoder................................ 14 2.3 Spectral Model Synthesis........................... 19 2.3.1 Harmonic Trajectories........................ 19 2.3.2 Shape Invariance.......................... -
Espeak : Speech Synthesis
Software Requirements Specification for ESpeak : Speech Synthesis Version 1.48.15 Prepared by Dimitrios Koufounakis January 10, 2018 Copyright © 2002 by Karl E. Wiegers. Permission is granted to use, modify, and distribute this document. Software Requirements Specification for <Project> Page ii Table of Contents Table of Contents .......................................................................................................................... ii Revision History ............................................................................................................................ ii 1. Introduction ..............................................................................................................................1 1.1 Purpose ............................................................................................................................................. 1 1.2 Document Conventions .................................................................................................................... 1 1.3 Intended Audience and Reading Suggestions................................................................................... 1 1.4 Project Scope .................................................................................................................................... 1 1.5 References......................................................................................................................................... 1 2. Overall Description ..................................................................................................................2 -
A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)
computers Article A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD) Ghassan Kbar 1,*, Mustufa Haider Abidi 2, Syed Hammad Mian 2, Ahmad A. Al-Daraiseh 3 and Wathiq Mansoor 4 1 Riyadh Techno Valley, King Saud University, P.O. Box 3966, Riyadh 12373-8383, Saudi Arabia 2 FARCAMT CHAIR, Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia; [email protected] (M.H.A.); [email protected] (S.H.M.) 3 College of Computer and Information Sciences, King Saud University, Riyadh 11421, Saudi Arabia; [email protected] 4 Department of Electrical Engineering, University of Dubai, Dubai 14143, United Arab Emirates; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +966-114693055 Academic Editor: Subhas Mukhopadhyay Received: 23 May 2016; Accepted: 22 July 2016; Published: 29 July 2016 Abstract: (1) Background: A disabled student or employee in a certain university faces a large number of obstacles in achieving his/her ordinary duties. An interactive smart search and communication application can support the people at the university campus and Science Park in a number of ways. Primarily, it can strengthen their professional network and establish a responsive eco-system. Therefore, the objective of this research work is to design and implement a unified flexible and adaptable interface. This interface supports an intensive search and communication tool across the university. It would benefit everybody on campus, especially the People with Disabilities (PWDs). (2) Methods: In this project, three main contributions are presented: (A) Assistive Technology (AT) software design and implementation (based on user- and technology-centered design); (B) A wireless sensor network employed to track and determine user’s location; and (C) A novel event behavior algorithm and movement direction algorithm used to monitor and predict users’ behavior and intervene with them and their caregivers when required. -
Personal Medication Advisor
FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Personal Medication Advisor Joana Polónia Lobo MASTER IN BIOENGINEERING Supervisor at FhP: Liliana Ferrreira (PhD) Supervisor at FEUP: Aníbal Ferreira (PhD) July, 2013 © Joana Polónia Lobo, 2013 Personal Medication Advisor Joana Polónia Lobo Master in Bioengineering Approved in oral examination by the committee: Chair: Artur Cardoso (PhD) External Examiner: Fernando Perdigão (PhD) Supervisor at FhP: Liliana Ferrreira (PhD) Supervisor at FEUP: Aníbal Ferreira (PhD) ____________________________________________________ July, 2013 Abstract Healthcare faces new challenges with automated medical support systems and artificial intelligence applications for personal care. The incidence of chronic diseases is increasing and monitoring patients in a home environment is inevitable. Heart failure is a chronic syndrome and a leading cause of death and hospital readmission on developed countries. As it has no cure, patients will have to follow strict medication plans for the rest of their lives. Non-compliance with prescribed medication regimens is a major concern, especially among older people. Thus, conversational systems will be very helpful in managing medication and increasing adherence. The Personal Medication Advisor aimed to be a conversational assistant, capable of interacting with the user through spoken natural language to help him manage information about his prescribed medicines. This patient centred approach to personal healthcare will improve treatment quality and efficacy. System architecture encompassed the development of three modules: a language parser, a dialog manager and a language generator, integrated with already existing tools for speech recognition and synthesis. All these modules work together and interact with the user through an Android application. System evaluation was performed through a usability test to assess feasibility, coherence and naturalness of the Personal Medication Advisor. -
Community Notebook
Community Notebook Free Software Projects Projects on the Move Accessibility for computer users with disabilities is one of the noblest goals for Linux and open source software. Vinux, Orca, and Gnome lead the way in Linux accessibility. By Carla Schroder ccessibility of any kind for people with disabilities has a long history of neglect and opposition. The US Rehabilitation Act of 1973 prohibited fed- eral agencies from discriminating on the basis of disability (Sections 501, A503, 504, 508) [1]. Passing a law is one thing; enforcing it is another, and it took years of activism to make any progress. In the 1980s, the Reagan Adminis- tration targeted Section 504 (addressing civil rights for people with disabilities) for de- Lisa Young, 123RF regulation because it was too “burdensome.” Once again advocates organized, and after two years of intensive effort, they succeeded in preserving Section 504. However, years more of Supreme Court fights, legislative battles, and public education efforts had to be won. The culmination of that work was the Americans with Disabilities Act (ADA) of 1990, which addresses some of the basic aspects of everyday life: employ- ment, public accommodations, telecommunications, and government agencies. This law still leaves an awful lot of gaps. Designing for accessibility is more than just bolting on a few aids as an afterthought – it’s a matter of architecture, of design- ing for everyone from the ground up. Accessibility covers a lot of ground, including: • Impaired vision to complete blindness • Impaired hearing to complete deafness • Color blindness • Difficulty or inability to type or use a mouse • Cognitive, learning, or reading problems • Low stamina, difficulty sitting up Talking computers have existed in science fiction for decades, but the world isn’t much closer to having them than it was 10 years ago. -
Speech Synthesis
Gudeta Gebremariam Speech synthesis Developing a web application implementing speech tech- nology Helsinki Metropolia University of Applied Sciences Bachelor of Engineering Information Technology Thesis 7 April, 2016 Abstract Author(s) Gudeta Gebremariam Title Speech synthesis Number of Pages 35 pages + 1 appendices Date 7 April, 2016 Degree Bachelor of Engineering Degree Programme Information Technology Specialisation option Software Engineering Instructor(s) Olli Hämäläinen, Senior Lecturer Speech is a natural media of communication for humans. Text-to-speech (TTS) tech- nology uses a computer to synthesize speech. There are three main techniques of TTS synthesis. These are formant-based, articulatory and concatenative. The application areas of TTS include accessibility, education, entertainment and communication aid in mass transit. A web application was developed to demonstrate the application of speech synthesis technology. Existing speech synthesis engines for the Finnish language were compared and two open source text to speech engines, Festival and Espeak were selected to be used with the web application. The application uses a Linux-based speech server which communicates with client devices with the HTTP-GET protocol. The application development successfully demonstrated the use of speech synthesis in language learning. One of the emerging sectors of speech technologies is the mobile market due to limited input capabilities in mobile devices. Speech technologies are not equally available in all languages. Text in the Oromo language -
Evaluating the Accessibility of Digital Audio Workstations for Blind Or Visually Impaired People
Evaluating the Accessibility of Digital Audio Workstations for Blind or Visually Impaired People Gemma Pedrini, Luca Andrea Ludovico a and Giorgio Presti b Laboratorio di Informatica Musicale, Dipartimento di Informatica “Giovanni Degli Antoni”, Universita` degli Studi di Milano, Via G. Celoria 18, Milano, Italy Keywords: Accessibility, Blind or Visually Impaired (BVI), Digital Audio Workstations. Abstract: This paper proposes a methodology to assess the accessibility for blind or visually impaired people of mu- sic production software known as Digital Audio Workstations. The products chosen for the tests are Cockos REAPER, Avid Pro Tools, and Steinberg Cubase, three of the most popular solutions falling in this cate- gory. Both Microsoft Windows and macOS versions were tested, since these two operating systems natively integrate assistive technologies which provide a further layer to be considered. The degree of accessibility was evaluated in relation to the possibility for blind or visually impaired people to invoke key functions and perform basic operations. Finally, a focus group with visually impaired professional music producers was organized in order to assess the proposed evaluation methodology. 1 INTRODUCTION The theme of accessibility in the context of Information Society, also known as e-accessibility Accessibility means enabling as many people as pos- (Klironomos et al., 2006), concerns the integration of sible to use a resource, even when those people’s abil- all users into the Information Society, including peo- ities are limited in some way. The International Clas- ple with disabilities. Such a subject is tightly con- sification of Functioning, Disability and Health (ICF) nected to e-inclusion, which aims to prevent the risk denotes with the term disability the negative aspects that people with lack of digital literacy, poor access of the interaction between an individual and that indi- to technology and some form of impairment are left vidual’s contextual factors.