The Algorithms of Tajik Speech Synthesis by Syllable
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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. -
Models of Speech Synthesis ROLF CARLSON Department of Speech Communication and Music Acoustics, Royal Institute of Technology, S-100 44 Stockholm, Sweden
Proc. Natl. Acad. Sci. USA Vol. 92, pp. 9932-9937, October 1995 Colloquium Paper This paper was presented at a colloquium entitled "Human-Machine Communication by Voice," organized by Lawrence R. Rabiner, held by the National Academy of Sciences at The Arnold and Mabel Beckman Center in Irvine, CA, February 8-9,1993. Models of speech synthesis ROLF CARLSON Department of Speech Communication and Music Acoustics, Royal Institute of Technology, S-100 44 Stockholm, Sweden ABSTRACT The term "speech synthesis" has been used need large amounts of speech data. Models working close to for diverse technical approaches. In this paper, some of the the waveform are now typically making use of increased unit approaches used to generate synthetic speech in a text-to- sizes while still modeling prosody by rule. In the middle of the speech system are reviewed, and some of the basic motivations scale, "formant synthesis" is moving toward the articulatory for choosing one method over another are discussed. It is models by looking for "higher-level parameters" or to larger important to keep in mind, however, that speech synthesis prestored units. Articulatory synthesis, hampered by lack of models are needed not just for speech generation but to help data, still has some way to go but is yielding improved quality, us understand how speech is created, or even how articulation due mostly to advanced analysis-synthesis techniques. can explain language structure. General issues such as the synthesis of different voices, accents, and multiple languages Flexibility and Technical Dimensions are discussed as special challenges facing the speech synthesis community. -
Text-To-Speech Synthesis System for Marathi Language Using Concatenation Technique
Text-To-Speech Synthesis System for Marathi Language Using Concatenation Technique Submitted to Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, INDIA For the award of Doctor of Philosophy by Mr. Sangramsing Nathsing Kayte Supervised by: Dr. Bharti W. Gawali Professor Department of Computer Science and Information Technology DR. BABASAHEB AMBEDKAR MARATHWADA UNIVERSITY, AURANGABAD November 2018 Abstract A speech synthesis system is a computer-based system that should be able to read any text aloud with a particular language or multiple languages. This is also called as Text-to- Speech synthesis or in short TTS. Communication plays an important role in everyones life. Usually communication refers to speaking or writing or sending a message to another person. Speech is one of the most important ways for human communication. There have been a great number of efforts to incorporate speech for communication between humans and computers. Demand for technologies in speech processing, such as speech recogni- tion, dialogue processing, natural language processing, and speech synthesis are increas- ing. These technologies are useful for human-to-human like spoken language translation systems and human-to-machine communication like control for handicapped persons etc., TTS is one of the key technologies in speech processing. TTS system converts ordinary orthographic text into acoustic signal, which is indis- tinguishable from human speech. For developing a natural human machine interface, the TTS system can be used as a way to communicate back, like a human voice by a computer. The TTS can be a voice for those people who cannot speak. People wishing to learn a new language can use the TTS system to learn the pronunciation. -
Wormed Voice Workshop Presentation
Wormed Voice Workshop Presentation micro_research December 27, 2017 1 some worm poetry and songs: The WORM was for a long time desirous to speake, but the rule and order of the Court enjoyned him silence, but now strutting and swelling, and impatient, of further delay, he broke out thus... [Michael Maier] He worshipped the worm and prayed to the wormy grave. Serpent Lucifer, how do you do? Of your worms and your snakes I'd be one or two; For in this dear planet of wool and of leather `Tis pleasant to need neither shirt, sleeve, nor shoe, 2 And have arm, leg, and belly together. Then aches your head, or are you lazy? Sing, `Round your neck your belly wrap, Tail-a-top, and make your cap Any bee and daisy. Two pigs' feet, two mens' feet, and two of a hen; Devil-winged; dragon-bellied; grave- jawed, because grass Is a beard that's soon shaved, and grows seldom again worm writing the the the the,eeeronencoug,en sthistit, d.).dupi w m,tinsprsool itav f bometaisp- pav wheaigelic..)a?? orerdi mise we ich'roo bish ftroo htothuloul mespowouklain- duteavshi wn,jis, sownol hof." m,tisorora angsthyedust,es, fofald,junss ownoug brad,)fr m fr,aA?a????ck;A?stelav aly, al is.'rady'lfrdil owoncorara wns t.) sh'r, oof ofr,a? ar,a???????a? fu mo towess,eethen hrtolly-l,."tigolav ict,a???!ol, w..'m,elyelil,tstreamas..n gotaillas.tansstheatsea f mb ispot inici t.) owar.**1 wnshigigholoothtith orsir.tsotic.'m, sotamimoledug imootrdeavet..t,) sh s,tranciror."wn sieee h asinied.tiear wspilotor,) bla av.nicord,ier.dy'et.*tite m.)..*d, hrouceto hie, ig il m, bsomoug,.t.'l,t, olitel bs,.nt,.dotr tat,)aa? htotitedont,j alesil, starar,ja taie ass.nishiceroouldseal fotitoonckysil, m oitispl o anteeeaicowousomirot. -
Attuning Speech-Enabled Interfaces to User and Context for Inclusive Design: Technology, Methodology and Practice
CORE Metadata, citation and similar papers at core.ac.uk Provided by Springer - Publisher Connector Univ Access Inf Soc (2009) 8:109–122 DOI 10.1007/s10209-008-0136-x LONG PAPER Attuning speech-enabled interfaces to user and context for inclusive design: technology, methodology and practice Mark A. Neerincx Æ Anita H. M. Cremers Æ Judith M. Kessens Æ David A. van Leeuwen Æ Khiet P. Truong Published online: 7 August 2008 Ó The Author(s) 2008 Abstract This paper presents a methodology to apply 1 Introduction speech technology for compensating sensory, motor, cog- nitive and affective usage difficulties. It distinguishes (1) Speech technology seems to provide new opportunities to an analysis of accessibility and technological issues for the improve the accessibility of electronic services and soft- identification of context-dependent user needs and corre- ware applications, by offering compensation for limitations sponding opportunities to include speech in multimodal of specific user groups. These limitations can be quite user interfaces, and (2) an iterative generate-and-test pro- diverse and originate from specific sensory, physical or cess to refine the interface prototype and its design cognitive disabilities—such as difficulties to see icons, to rationale. Best practices show that such inclusion of speech control a mouse or to read text. Such limitations have both technology, although still imperfect in itself, can enhance functional and emotional aspects that should be addressed both the functional and affective information and com- in the design of user interfaces (cf. [49]). Speech technol- munication technology-experiences of specific user groups, ogy can be an ‘enabler’ for understanding both the content such as persons with reading difficulties, hearing-impaired, and ‘tone’ in user expressions, and for producing the right intellectually disabled, children and older adults. -
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). -
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 -
Understanding Disability and Assistive Technology
Free ebooks ==> www.ebook777.com BOOKS FOR PROFESSIONALS BY PROFESSIONALS® O Connor RELATED Pro HTML5 Accessibility Build exciting, accessible, and usable web sites and apps with Pro HTML5 Accessibility. This book walks you through the process of designing user interfaces to be used by everyone, regardless of ability. It gives you the knowledge and skills you need to use HTML5 to serve the needs of the widest possible audience, including people with disabilities using assistive technology (AT) and older people. With Pro HTML5 Accessibility, you’ll learn: • How accessibility makes for good web site design • The fundamentals of ATs and how they interact with web content • How to apply HTML5 to your web projects in order to design more accessible content • How JavaScript and WAI-ARIA can be used with HTML5 to support the development of accessible web content • Important usability and user-centered design techniques that can make your HTML5 projects reach a wider audience Filled with practical advice, this book helps you master HTML5 and good accessibility design. It explores the new semantics of HTML5 and shows you how to combine them with authoring practices you may know from using earlier versions of HTML. It also aims to demonstrate how HTML5 content is currently supported (or not) by ATs such as screen readers and what this practically means for you as you endeavor to make your HTML5 projects accessible. Shelve in Web Design/HTML User level: Intermediate–Advanced SOURCE CODE ONLINE www.apress.com www.ebook777.com Free ebooks ==> www.ebook777.com For your convenience Apress has placed some of the front matter material after the index. -
A Unit Selection Text-To-Speech-And-Singing Synthesis Framework from Neutral Speech: Proof of Concept 39 II.1 Introduction
Adding expressiveness to unit selection speech synthesis and to numerical voice production 90) - 02 - Marc Freixes Guerreiro http://hdl.handle.net/10803/672066 Generalitat 472 (28 de Catalunya núm. Rgtre. Fund. ADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de ió la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual undac F (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. Universitat Ramon Llull Universitat Ramon ADVERTENCIA. El acceso a los contenidos de esta tesis doctoral y su utilización debe respetar los derechos de la persona autora. Puede ser utilizada para consulta o estudio personal, así como en actividades o materiales de investigación y docencia en los términos establecidos en el art. 32 del Texto Refundido de la Ley de Propiedad Intelectual (RDL 1/1996). -
Improvements in Speech Synthesis Improvementsinspeechsynthesis.Editedbye.Keller Et Al
ImprovementsinSpeechSynthesis.EditedbyE.Keller et al. Copyright # 2002 by John Wiley & Sons, Ltd ISBNs: 0-471-49985-4 &Hardback); 0-470-84594-5 &Electronic) Improvements in Speech Synthesis ImprovementsinSpeechSynthesis.EditedbyE.Keller et al. Copyright # 2002 by John Wiley & Sons, Ltd ISBNs: 0-471-49985-4 &Hardback); 0-470-84594-5 &Electronic) Improvements in Speech Synthesis COST 258: The Naturalness of Synthetic Speech Edited by E. Keller, University of Lausanne, Switzerland G. Bailly, INPG, France A. Monaghan, Aculab plc, UK J. Terken, Technische Universiteit Eindhoven, The Netherlands M. Huckvale, University College London, UK JOHN WILEY & SONS, LTD ImprovementsinSpeechSynthesis.EditedbyE.Keller et al. Copyright # 2002 by John Wiley & Sons, Ltd ISBNs: 0-471-49985-4 &Hardback); 0-470-84594-5 &Electronic) Copyright # 2002 by John Wiley & Sons, Ltd Baffins Lane, Chichester, West Sussex, PO19 1UD, England National 01243 779777 International &44) 1243 779777 e-mail &for orders and customer service enquiries): [email protected] Visit our Home Page on http://www.wiley.co.uk or http://www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency, 90 Tottenham Court Road, London, W1P 9HE, UK, without the permission in writing of the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the publication. -
Gnuspeech Tract Manual 0.9
Gnuspeech TRAcT Manual 0.9 TRAcT: the Gnuspeech Tube Resonance Access Tool: a means of investigating and understanding the basic Gnuspeech vocal tract model David R. Hill, University of Calgary TRAcT and the \tube" model to which it allows access was originally known as \Synthesizer" and developed by Leonard Manzara on the NeXT computer. The name has been changed because \Synthesiser" might be taken to imply it synthesises speech, which it doesn't. It is a \low-level" sound synthesiser that models the human vocal tract, requiring the \high-level" synthesiser control inherent in Gnuspeech/Monet to speak. TRAcT provides direct interactive access to the human vocal tract model parameters and shapes as a means of exploring its sound generation capabilities, as needed for speech database creation. i (GnuSpeech TRAcT Manual Version 0.9) David R. Hill, PEng, FBCS ([email protected] or drh@firethorne.com) © 2004, 2015 David R. Hill. All rights reserved. This document is publicly available under the terms of a Free Software Foundation \Free Doc- umentation Licence" See see http://www.gnu.org/copyleft/fdl.html for the licence terms. This page and the acknowledgements section are the invariant sections. ii SUMMARY The \Tube Resonance Model" (TRM, or \tube", or \waveguide", or transmission-line) forms the acoustic basis of the Gnupeech articulatory text-to-speech system and provides a linguistics research tool. It emulates the human vocal apparatus and allows \postures" to be imposed on vocal tract model, and energy to be injected representing voicing, whispering, sibilant noises and \breathy" noise. The \Distinctive Region Model" (DRM) control system that allows simple specification of the postures, and accessed by TRAcT 1is based on research by CGM Fant and his colleagues at the Stockholm Royal Institute of Technology Speech Technology Laboratory (Fant & Pauli 1974), by Ren´eCarr´eand his colleagues at T´el´ecomParis (Carr´e,Chennoukh & Mrayati 1992), and further developed by our original research team at Trillium Sound Research and the U of Calgary).