Academic literature on the topic 'Speech-to-text systems'

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Journal articles on the topic "Speech-to-text systems"

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Eide, Ellen M. "Training of text-to-speech systems." Journal of the Acoustical Society of America 115, no. 5 (2004): 1874. http://dx.doi.org/10.1121/1.1757180.

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Choi, Yeunju, Youngmoon Jung, Younggwan Kim, Youngjoo Suh, and Hoirin Kim. "An end-to-end synthesis method for Korean text-to-speech systems." Phonetics and Speech Sciences 10, no. 1 (March 2018): 39–48. http://dx.doi.org/10.13064/ksss.2018.10.1.039.

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Kuzmin, A., and S. Ivanov. "Speech to Text System for Noisy and Quiet Speech." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012071. http://dx.doi.org/10.1088/1742-6596/2096/1/012071.

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Abstract This paper examines one of the available and simple methods to develop speech recognition systems capable of recognizing speech from noisy or silent recordings. Such systems improve the automated operation of call centers, and also bring us closer to creating speech recognition models capable of ignoring the speech deficiencies of speakers.
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Van Bezooijen, Renée, and Louis C. W. Pols. "Evaluating text-to-speech systems: Some methodological aspects." Speech Communication 9, no. 4 (August 1990): 263–70. http://dx.doi.org/10.1016/0167-6393(90)90002-q.

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Sunitha, Dr K. V. N., and P. Sunitha Devi. "Text Normalization for Telugu Text-to-Speech Synthesis." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 2 (October 10, 2013): 2241–49. http://dx.doi.org/10.24297/ijct.v11i2.1176.

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Most areas related to language and speech technology, directly or indirectly, require handling of unrestricted text, and Text-to-speech systems directly need to work on real text. To build a natural sounding speech synthesis system, it is essential that the text processing component produce an appropriate sequence of phonemic units corresponding to an arbitrary input text. A novel approach is used, where the input text is tokenized, and classification is done based on token type. The token sense disambiguation is achieved by the semantic nature of the language and then the expansion rules are applied to get the normalized text. However, for Telugu language not much work is done on text normalization. In this paper we discuss our efforts for designing a rule based system to achieve text normalization in the context of building Telugu text-to-speech system.
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Tran, Oanh Thi, and Viet The Bui. "Neural Text Normalization in Speech-to-Text Systems with Rich Features." Applied Artificial Intelligence 35, no. 3 (January 11, 2021): 193–205. http://dx.doi.org/10.1080/08839514.2020.1842108.

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Greene, Beth G., and John S. Logan. "Segmental intelligibility of synthetic speech produced by eight text‐to‐speech systems." Journal of the Acoustical Society of America 79, S1 (May 1986): S25. http://dx.doi.org/10.1121/1.2023130.

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Sirivara, Sudheer. "Compressing and using a concatenative speech database in text-to-speech systems." Journal of the Acoustical Society of America 122, no. 1 (2007): 32. http://dx.doi.org/10.1121/1.2756497.

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Nazemi, Azadeh, Iain Murray, and David A. McMeekin. "Multilingual Text to Speech in embedded systems using RC8660." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 4 (April 30, 2014): 4374–81. http://dx.doi.org/10.24297/ijct.v13i4.2859.

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Most multilingual Test to Speech (TTS) systems are software applications which allow people with visual impairments or reading disabilities to listen the written material using computer. This paper describes an approach to make a multilingual TTS and embed it into the portable, low cost, and standalone embedded system to access and read electronic documents particularly in developing countries. There are several TTS such as Doubletalk, DECtalk, and Dolphin available in market, also there are some products using TTS such as Talking OCR, Bill Reader and Intel Reader, which are not affordable or multilingual. To design this system OMAP3530 an application processor board is considered as the hardware platform to process the language-independent parts of the application and RC8660 used as an integrated TTS processor.Â
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Molbæk Hansen, Peter. "Syntax, morphology, and phonology in text-to-speech systems." Annual Report of the Institute of Phonetics University of Copenhagen 23 (January 1, 1989): 119–52. http://dx.doi.org/10.7146/aripuc.v23i.131904.

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The paper is concerned with the integration of linguistic information in text-to-speech systems. Research in synthesis proper is at a stage where the need for systematic integration of comprehensive linguistic information in such systems is making itself felt more than ever. A surface structure parsing system is presented whose main virtue is that it permits linguists to express syntactic as well as lexical and morphological regularities and irregularities of a language in a simple and easy-to-learn formalism. Most aspects of the system are seen in the light of Danish and - sporadically - English and Finnish surface structure.
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Dissertations / Theses on the topic "Speech-to-text systems"

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Chan, Ngor-chi. "Text-to-speech conversion for Putonghua /." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12929475.

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陳我智 and Ngor-chi Chan. "Text-to-speech conversion for Putonghua." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31209580.

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Breitenbücher, Mark. "Textvorverarbeitung zur deutschen Version des Festival Text-to-Speech Synthese Systems." [S.l.] : Universität Stuttgart , Fakultät Philosophie, 1997. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB6783514.

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Baloyi, Ntsako. "A text-to-speech synthesis system for Xitsonga using hidden Markov models." Thesis, University of Limpopo (Turfloop Campus), 2012. http://hdl.handle.net/10386/1021.

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Thesis (M.Sc. (Computer Science) --University of Limpopo, 2013
This research study focuses on building a general-purpose working Xitsonga speech synthesis system that is as far as can be possible reasonably intelligible, natural sounding, and flexible. The system built has to be able to model some of the desirable speaker characteristics and speaking styles. This research project forms part of the broader national speech technology project that aims at developing spoken language systems for human-machine interaction using the eleven official languages of South Africa (SA). Speech synthesis is the reverse of automatic speech recognition (which receives speech as input and converts it to text) in that it receives text as input and produces synthesized speech as output. It is generally accepted that most people find listening to spoken utterances better that reading the equivalent of such utterances. The Xitsonga speech synthesis system has been developed using a hidden Markov model (HMM) speech synthesis method. The HMM-based speech synthesis (HTS) system synthesizes speech that is intelligible, and natural sounding. This method can synthesize speech on a footprint of only a few megabytes of training speech data. The HTS toolkit is applied as a patch to the HTK toolkit which is a hidden Markov model toolkit primarily designed for use in speech recognition to build and manipulate hidden Markov models.
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Engell, Trond Bøe. "TaleTUC: Text-to-Speech and Other Enhancements to Existing Bus Route Information Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18920.

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As smartphone sales increase, the demand for content for these devices alsoincreases. Service providers that want to reach out to as many users as possibleneed to create smartphone applications that satisfy people that do not fall intothe "normal user" category. People that require non-visual feedback, such asvisually impaired persons, need output in form of auditory signals. Text-tospeechsynthesis provides this functionality, giving the smartphone the abilityto convey messages in the form of speech.This thesis describes TaleTUC: Text-to-speech, a proof of concept text-to-speechsystem for the domain of bus route information. The system uses a client-serverarchitecture where the server converts text to computer-generated speech signalsand provides playable audio files either directly to the smartphone, orthrough a Java Servlet that provides functionality to tailor the output (e.g., audiocompression). Descriptions of other enhancements to bus route informationsystems, that are are not directly related to synthesized speech, have also beengiven.Three text-to-speech modules have been evaluated and to establish whetherthere is a link between intelligibility and naturalness in synthesized speech.Non-functional tests (transfer, response time, etc) have also been conductedto get an impression of whether service providers that use "cloud" technologyprovide a better service than an in-house system. There are no definitive answersto these questions, but results indicate that there might be a link (howeversmall) between intelligibility and naturalness and that an in-house systemis still preferable in the domain of bus route information.
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Lambert, Tanya. "Databases for concatenative text-to-speech synthesis systems : unit selection and knowledge-based approach." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421192.

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Levefeldt, Christer. "Evaluation of NETtalk as a means to extract phonetic features from text for synchronization with speech." Thesis, University of Skövde, Department of Computer Science, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-173.

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The background for this project is a wish to automate synchronization of text and speech. The idea is to present speech through speakers synchronized word-for-word with text appearing on a monitor.

The solution decided upon is to use artificial neural networks, ANNs, to convert both text and speech into streams made up of sets of phonetic features and then matching these two streams against each other. Several text-to-feature ANN designs based on the NETtalk system are implemented and evaluated. The extraction of phonetic features from speech and the synchronization itself are not implemented, but some assessments are made regarding their possible performances. The performance of a finished system is not possible to determine, but a NETtalk-based ANN is believed to be suitable for such a system using phonetic features for synchronization.

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Yoon, Kyuchul. "Building a prosodically sensitive diphone database for a Korean text-to-speech synthesis system." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1119010941.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xxii, 291 p.; also includes graphics (some col.) Includes bibliographical references (p. 210-216). Available online via OhioLINK's ETD Center
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Thorstensson, Niklas. "A knowledge-based grapheme-to-phoneme conversion for Swedish." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-731.

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A text-to-speech system is a complex system consisting of several different modules such as grapheme-to-phoneme conversion, articulatory and prosodic modelling, voice modelling etc.

This dissertation is aimed at the creation of the initial part of a text-to-speech system, i.e. the grapheme-to-phoneme conversion, designed for Swedish. The problem area at hand is the conversion of orthographic text into a phonetic representation that can be used as a basis for a future complete text-to speech system.

The central issue of the dissertation is the grapheme-to-phoneme conversion and the elaboration of rules and algorithms required to achieve this task. The dissertation aims to prove that it is possible to make such a conversion by a rule-based algorithm with reasonable performance. Another goal is to find a way to represent phonotactic rules in a form suitable for parsing. It also aims to find and analyze problematic structures in written text compared to phonetic realization.

This work proposes a knowledge-based grapheme-to-phoneme conversion system for Swedish. The system suggested here is implemented, tested, evaluated and compared to other existing systems. The results achieved are promising, and show that the system is fast, with a high degree of accuracy.

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Mhlana, Siphe. "Development of isiXhosa text-to-speech modules to support e-Services in marginalized rural areas." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/495.

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Information and Communication Technology (ICT) projects are being initiated and deployed in marginalized areas to help improve the standard of living for community members. This has lead to a new field, which is responsible for information processing and knowledge development in rural areas, called Information and Communication Technology for Development (ICT4D). An ICT4D projects has been implemented in a marginalized area called Dwesa; this is a rural area situated in the wild coast of the former homelandof Transkei, in the Eastern Cape Province of South Africa. In this rural community there are e-Service projects which have been developed and deployed to support the already existent ICT infrastructure. Some of these projects include the e-Commerce platform, e-Judiciary service, e-Health and e-Government portal. Although these projects are deployed in this area, community members face a language and literacy barrier because these services are typically accessed through English textual interfaces. This becomes a challenge because their language of communication is isiXhosa and some of the community members are illiterate. Most of the rural areas consist of illiterate people who cannot read and write isiXhosa but can only speak the language. This problem of illiteracy in rural areas affects both the youth and the elderly. This research seeks to design, develop and implement software modules that can be used to convert isiXhosa text into natural sounding isiXhosa speech. Such an application is called a Text-to-Speech (TTS) system. The main objective of this research is to improve ICT4D eServices’ usability through the development of an isiXhosa Text-to-Speech system. This research is undertaken within the context of Siyakhula Living Lab (SLL), an ICT4D intervention towards improving the lives of rural communities of South Africa in an attempt to bridge the digital divide. Thedeveloped TTS modules were subsequently tested to determine their applicability to improve eServices usability. The results show acceptable levels of usability as having produced audio utterances for the isiXhosa Text-To-Speech system for marginalized areas.
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Books on the topic "Speech-to-text systems"

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Taylor, Paul. Text-to-speech synthesis. Cambridge, UK: Cambridge University Press, 2009.

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An introduction to text-to-speech synthesis. Dordrecht: Kluwer Academic Publishers, 1997.

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Allen, Jonathan. From text to speech: The MITalk system. Cambridge [Cambridgeshire]: Cambridge University Press, 1987.

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Rao, K. Sreenivasa. Predicting Prosody from Text for Text-to-Speech Synthesis. New York, NY: Springer New York, 2012.

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William, Sproat Richard, and Lucent Technologies (Firm), eds. Multilingual text-to-speech synthesis: The Bell Labs approach. Dordrecht: Kluwer, 1998.

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van, Heuven Vincent, and Pols, Louis C. W., 1941-, eds. Analysis and synthesis of speech: Strategic research towards high-quality text-to-speech generation. Berlin: Mouton de Gruyter, 1993.

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Sabourin, Conrad. Computational speech processing: Speech analysis, recognition, understanding, compression, transmission, coding, synthesis, text to speech systems, speech to tactile displays, speaker identification, prosody processing : bibliography. Montréal: Infolingua, 1994.

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Meisel, William S. The telephony voice user interface: Applications of speech recognition, text-to-speech, and speaker verification over the telephone. Tarzana, CA: TMA Associates, 1998.

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Keyes, Bettye. Voice writing method. Little Rock, Ark: VoiceCAT Corp., 2005.

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Zaripov, Ruslan, and Lev Gavrilov. Technology consecutive translation. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/24842.

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The tutorial covers the basics of translation cursive, which provides translation of the speech after it is fully listened to and does not require interrupting the speaker's speech. The system of exercises presented in the manual is designed to ensure the formation of skills and consecutive translation skills with notes, stimulates the intellectual activity of the student and helps him overcome the dangerous tendency to literally copy the forms of the original text in the translation. Meets the requirements of the Federal state educational standard of higher education of the latest generation. The manual is intended for students of higher educational institutions of the Humanities, studying in the specialty 45.05.01 "Translation and translation studies".
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Book chapters on the topic "Speech-to-text systems"

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Bhuta, Samyak, and S. Rama Mohan. "Gujarati Text – To – Speech System." In Information Systems for Indian Languages, 311. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19403-0_59.

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Stüker, Sebastian, Kevin Kilgour, and Jan Niehues. "Quaero Speech-to-Text and Text Translation Evaluation Systems." In High Performance Computing in Science and Engineering '10, 529–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15748-6_38.

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Stüker, Sebastian, Kevin Kilgour, and Florian Kraft. "Quaero 2010 Speech-to-Text Evaluation Systems." In High Performance Computing in Science and Engineering '11, 607–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23869-7_44.

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Yoon, HyoJeon, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, and Dosam Hwang. "Cross-Lingual Korean Speech-to-Text Summarization." In Intelligent Information and Database Systems, 198–206. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14799-0_17.

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Kamath, K. Sanjana, K. Raghavendra N. Bhat, Charishma, and Pearl Infancia D’souza. "Kannada Text-to-Speech System using MATLAB." In Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, 187–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0443-0_15.

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Singh, Parminder, and Gurpreet Singh Lehal. "Text-To-Speech Synthesis System for Punjabi Language." In Information Systems for Indian Languages, 302–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19403-0_54.

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Quazza, Silvia, and Henk van den Heuvel. "The Use of Lexica in Text-to-Speech Systems." In Text, Speech and Language Technology, 207–33. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-9458-0_7.

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Xydas, Gerasimos, and Georgios Kouroupetroglou. "Augmented Auditory Representation of e-Texts for Text-to-Speech Systems." In Text, Speech and Dialogue, 134–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44805-5_17.

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Panda, Soumya Priyadarsini, and Ajit Kumar Nayak. "A Rule-Based Concatenative Approach to Speech Synthesis in Indian Language Text-to-Speech Systems." In Advances in Intelligent Systems and Computing, 523–31. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2009-1_59.

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Vích, Robert, Jan Nouza, and Martin Vondra. "Automatic Speech Recognition Used for Intelligibility Assessment of Text-to-Speech Systems." In Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, 136–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70872-8_10.

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Conference papers on the topic "Speech-to-text systems"

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Santen, Jan P. H. van. "Timing in text-to-speech systems." In 3rd European Conference on Speech Communication and Technology (Eurospeech 1993). ISCA: ISCA, 1993. http://dx.doi.org/10.21437/eurospeech.1993-12.

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Lee, Sangho, and Yung-Hwan Oh. "A text analyzer for Korean text-to-speech systems." In 4th International Conference on Spoken Language Processing (ICSLP 1996). ISCA: ISCA, 1996. http://dx.doi.org/10.21437/icslp.1996-430.

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Bapat, Abhijit V., and Lalit K. Nagalkar. "Phonetic Speech Analysis for Speech to Text Conversion." In 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems (ICIIS). IEEE, 2008. http://dx.doi.org/10.1109/iciinfs.2008.4798390.

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Rybarova, Renata, Gonzalo del Corral, and Gregor Rozinaj. "Diphone spanish text-to-speech synthesizer." In 2015 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2015. http://dx.doi.org/10.1109/iwssip.2015.7314192.

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Gaved, Maggie. "Pronunciation and text normalisation in applied text-to-speech systems." In 3rd European Conference on Speech Communication and Technology (Eurospeech 1993). ISCA: ISCA, 1993. http://dx.doi.org/10.21437/eurospeech.1993-206.

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Zemirli, Z. "ARAB_TTS: An Arabic Text To Speech Synthesis." In IEEE International Conference on Computer Systems and Applications, 2006. IEEE, 2006. http://dx.doi.org/10.1109/aiccsa.2006.205206.

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Breen, Andrew, Barry Eggleton, Peter Dion, and Steve Minnis. "Refocussing on the text normalisation process in text-to-speech systems." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA: ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-90.

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Gopinath, Deepa P., J. Divya Sree, Reshmi Mathew, S. J. Rekhila, and Achuthsankar S. Nair. "Duration Analysis for Malayalam Text-To-Speech Systems." In 9th International Conference on Information Technology (ICIT'06). IEEE, 2006. http://dx.doi.org/10.1109/icit.2006.48.

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Diehl, F., M. J. F. Gales, M. Tomalin, and P. C. Woodland. "Phonetic pronunciations for arabic speech-to-text systems." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4517924.

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Klavans, Judith L., and Evelyne Tzoukermann. "Machine-readable dictionaries in text-to-speech systems." In the 15th conference. Morristown, NJ, USA: Association for Computational Linguistics, 1994. http://dx.doi.org/10.3115/991250.991305.

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Reports on the topic "Speech-to-text systems"

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
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Chornodon, Myroslava. FEAUTURES OF GENDER IN MODERN MASS MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11064.

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The article clarifies of gender identity stereotypes in modern media. The main gender stereotypes covered in modern mass media are analyzed and refuted. The model of gender relations in the media is reflected mainly in the stereotypical images of men and woman. The features of the use of gender concepts in modern periodicals for women and men were determined. The most frequently used derivatives of these macroconcepts were identified and analyzed in detail. It has been found that publications for women and men are full of various gender concepts that are used in different contexts. Ingeneral, theanalysisofthe concept-maximums and concept-minimum gender and their characteristics is carried out in the context of gender stereotypes that have been forme dand function in the society, system atizing the a ctual presentations. The study of the gender concept is relevant because it reveals new trends and features of modern gender images. Taking into account the special features of gender-labeled periodicals in general and the practical absence of comprehensive scientific studies of the gender concept in particular, there is a need to supplement Ukrainian science with this topic. Gender psychology, which is served by methods of various sciences, primarily sociological, pedagogical, linguistic, psychological, socio-psychological. Let us pay attention to linguistic and psycholinguistic methods in gender studies. Linguistic methods complement intelligence research tasks, associated with speech, word and text. Psycholinguistic methods used in gender psychology (semantic differential, semantic integral, semantic analysis of words and texts), aimed at studying speech messages, specific mechanisms of origin and perception, functions of speech activity in society, studying the relationship between speech messages and gender properties participants in the communication, to analyze the linguistic development in connection with the general development of the individual. Nowhere in gender practice there is the whole arsenal of psychological methods that allow you to explore psychological peculiarities of a person like observation, experiments, questionnaires, interviews, testing, modeling, etc. The methods of psychological self-diagnostics include: the gender aspect of the own socio-psychological portrait, a gender biography as a variant of the biographical method, aimed at the reconstruction of individual social experience. In the process of writing a gender autobiography, a person can understand the characteristics of his gender identity, as well as ways and means of their formation. Socio-psychological methods of studying gender include the study of socially constructed women’s and men’s roles, relationships and identities, sexual characteristics, psychological characteristics, etc. The use of gender indicators and gender approaches as a means of socio-psychological and sociological analysis broadens the subject boundaries of these disciplines and makes them the subject of study within these disciplines. And also, in the article a combination of concrete-historical, structural-typological, system-functional methods is implemented. Descriptive and comparative methods, method of typology, modeling are used. Also used is a method of content analysis for the study of gender content of modern gender-stamped journals. It was he who allowed quantitatively to identify and explore the features of the gender concept in the pages of periodicals for women and men. A combination of historical, structural-typological, system-functional methods is also implemented in the article. Descriptive and comparative methods, method of typology, modeling are used. A method of content analysis for the study of gender content of modern gender-labeled journals is also used. It allowed to identify and explore the features of the gender concept quantitatively in the periodicals for women and men. The conceptual perception and interpretation of the gender concept «woman», which is highlighted in the modern gender-labeled press in Ukraine, requires the elaboration of the polyfunctionality of gender interpretations, the comprehension of the metaphorical perception of this image and its role and purpose in society. A gendered approach to researching the gender content of contemporary periodicals for women and men. Conceptual analysis of contemporary gender-stamped publications within the gender conceptual sphere allows to identify and correlate the meta-gender and gender concepts that appear in society.
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