Wikispeech – Enabling Open Source Text-To-Speech for Wikipedia
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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. -
THE DEVELOPMENT of ACCENTED ENGLISH SYNTHETIC VOICES By
THE DEVELOPMENT OF ACCENTED ENGLISH SYNTHETIC VOICES by PROMISE TSHEPISO MALATJI DISSERTATION Submitted in fulfilment of the requirements for the degree of MASTER OF SCIENCE in COMPUTER SCIENCE in the FACULTY OF SCIENCE AND AGRICULTURE (School of Mathematical and Computer Sciences) at the UNIVERSITY OF LIMPOPO SUPERVISOR: Mr MJD Manamela CO-SUPERVISOR: Dr TI Modipa 2019 DEDICATION In memory of my grandparents, Cecilia Khumalo and Alfred Mashele, who always believed in me! ii DECLARATION I declare that THE DEVELOPMENT OF ACCENTED ENGLISH SYNTHETIC VOICES is my own work and that all the sources that I have used or quoted have been indicated and acknowledged by means of complete references and that this work has not been submitted before for any other degree at any other institution. ______________________ ___________ Signature Date iii ACKNOWLEDGEMENTS I want to recognise the following people for their individual contributions to this dissertation: • My brother, Mr B.I. Khumalo and the whole family for the unconditional love, support and understanding. • A distinct thank you to both my supervisors, Mr M.J.D. Manamela and Dr T.I. Modipa, for their guidance, motivation, and support. • The Telkom Centre of Excellence for Speech Technology for providing the resources and support to make this study a success. • My colleagues in Department of Computer Science, Messrs V.R. Baloyi and L.M. Kola, for always motivating me. • A special thank you to Mr T.J. Sefara for taking his time to participate in the study. • The six Computer Science undergraduate students who sacrificed their precious time to participate in data collection. -
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. -
Estudios De I+D+I
ESTUDIOS DE I+D+I Número 51 Proyecto SIRAU. Servicio de gestión de información remota para las actividades de la vida diaria adaptable a usuario Autor/es: Catalá Mallofré, Andreu Filiación: Universidad Politécnica de Cataluña Contacto: Fecha: 2006 Para citar este documento: CATALÁ MALLOFRÉ, Andreu (Convocatoria 2006). “Proyecto SIRAU. Servicio de gestión de información remota para las actividades de la vida diaria adaptable a usuario”. Madrid. Estudios de I+D+I, nº 51. [Fecha de publicación: 03/05/2010]. <http://www.imsersomayores.csic.es/documentos/documentos/imserso-estudiosidi-51.pdf> Una iniciativa del IMSERSO y del CSIC © 2003 Portal Mayores http://www.imsersomayores.csic.es Resumen Este proyecto se enmarca dentro de una de las líneas de investigación del Centro de Estudios Tecnológicos para Personas con Dependencia (CETDP – UPC) de la Universidad Politécnica de Cataluña que se dedica a desarrollar soluciones tecnológicas para mejorar la calidad de vida de las personas con discapacidad. Se pretende aprovechar el gran avance que representan las nuevas tecnologías de identificación con radiofrecuencia (RFID), para su aplicación como sistema de apoyo a personas con déficit de distinta índole. En principio estaba pensado para personas con discapacidad visual, pero su uso es fácilmente extensible a personas con problemas de comprensión y memoria, o cualquier tipo de déficit cognitivo. La idea consiste en ofrecer la posibilidad de reconocer electrónicamente los objetos de la vida diaria, y que un sistema pueda presentar la información asociada mediante un canal verbal. Consta de un terminal portátil equipado con un trasmisor de corto alcance. Cuando el usuario acerca este terminal a un objeto o viceversa, lo identifica y ofrece información complementaria mediante un mensaje oral. -
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. -
Voice Synthesizer Application Android
Voice synthesizer application android Continue The Download Now link sends you to the Windows Store, where you can continue the download process. You need to have an active Microsoft account to download the app. This download may not be available in some countries. Results 1 - 10 of 603 Prev 1 2 3 4 5 Next See also: Speech Synthesis Receming Device is an artificial production of human speech. The computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware. The text-to-speech system (TTS) converts the usual text of language into speech; other systems display symbolic linguistic representations, such as phonetic transcriptions in speech. Synthesized speech can be created by concatenating fragments of recorded speech that are stored in the database. Systems vary in size of stored speech blocks; The system that stores phones or diphones provides the greatest range of outputs, but may not have clarity. For specific domain use, storing whole words or suggestions allows for high-quality output. In addition, the synthesizer may include a vocal tract model and other characteristics of the human voice to create a fully synthetic voice output. The quality of the speech synthesizer is judged by its similarity to the human voice and its ability to be understood clearly. The clear text to speech program allows people with visual impairments or reading disabilities to listen to written words on their home computer. Many computer operating systems have included speech synthesizers since the early 1990s. A review of the typical TTS Automatic Announcement System synthetic voice announces the arriving train to Sweden. -
Towards Expressive Speech Synthesis in English on a Robotic Platform
PAGE 130 Towards Expressive Speech Synthesis in English on a Robotic Platform Sigrid Roehling, Bruce MacDonald, Catherine Watson Department of Electrical and Computer Engineering University of Auckland, New Zealand s.roehling, b.macdonald, [email protected] Abstract Affect influences speech, not only in the words we choose, but in the way we say them. This pa- per reviews the research on vocal correlates in the expression of affect and examines the ability of currently available major text-to-speech (TTS) systems to synthesize expressive speech for an emotional robot guide. Speech features discussed include pitch, duration, loudness, spectral structure, and voice quality. TTS systems are examined as to their ability to control the fea- tures needed for synthesizing expressive speech: pitch, duration, loudness, and voice quality. The OpenMARY system is recommended since it provides the highest amount of control over speech production as well as the ability to work with a sophisticated intonation model. Open- MARY is being actively developed, is supported on our current Linux platform, and provides timing information for talking heads such as our current robot face. 1. Introduction explicitly stated otherwise the research is concerned with the English language. Affect influences speech, not only in the words we choose, but in the way we say them. These vocal nonverbal cues are important in human speech as they communicate 2.1. Pitch information about the speaker’s state or attitude more effi- ciently than the verbal content (Eide, Aaron, Bakis, Hamza, Pitch contour seems to be one of the clearest indica- Picheny, and Pitrelli 2004).