Relevant bibliographies by topics / Speech-to-Text

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Speech-to-Text'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Speech-to-Text"

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H J, Petkar. "Brief Review on Text - to - Speech System." International Journal of Science and Research (IJSR) 10, no. 3 (2021): 1923–26. https://doi.org/10.21275/sr211018142638.

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Jadhav, Vishal. "Speech to Text - Text to Speech Transcription for Indian Languages." International Journal of Science, Engineering and Technology 13, no. 2 (2025): 1–8. https://doi.org/10.61463/ijset.vol.13.issue2.337.

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Y M, Manish, Kavya K, and Vishesh S. "Android Application to Convert Speech to Text and Text to Speech." IJARCCE 8, no. 2 (2019): 49–52. http://dx.doi.org/10.17148/ijarcce.2019.8208.

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Rudrappa, Naveenkumar T., Mallamma V. Reddy, and M. Hanumanthappa. "KHiTE: Multilingual Speech Acquisition to Monolingual Text Translation." Indian Journal Of Science And Technology 16, no. 21 (2023): 1572–79. http://dx.doi.org/10.17485/ijst/v16i21.727.

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Furui, S., T. Kikuchi, Y. Shinnaka, and C. Hori. "Speech-to-Text and Speech-to-Speech Summarization of Spontaneous Speech." IEEE Transactions on Speech and Audio Processing 12, no. 4 (2004): 401–8. http://dx.doi.org/10.1109/tsa.2004.828699.

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Venkateswarlu, S. "Text to Speech Conversion." Indian Journal of Science and Technology 9, no. 1 (2016): 1–3. http://dx.doi.org/10.17485/ijst/2016/v9i38/102967.

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Hallahan, William I., and Anthony J. Vitale. "Software text-to-speech." International Journal of Speech Technology 1, no. 2 (1997): 121–34. http://dx.doi.org/10.1007/bf02277193.

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Sproat, Richard W., and Joseph P. Olive. "Text-to-Speech Synthesis." AT&T Technical Journal 74, no. 2 (1995): 35–44. http://dx.doi.org/10.1002/j.1538-7305.1995.tb00399.x.

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Ramacharla, Sai Teja. "Speech to Text Transcription." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4172–76. http://dx.doi.org/10.22214/ijraset.2024.60714.

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Abstract: This paper aims to enhance speech recognition and audio processing, converting spoken sentences into text and taking input from various input sources like microphones, audio, and video files. Notably, it offers robust audio conversion capabilities, supporting MP3 to WAV and other formats. To enhance the scalability and user experience, the system is implemented as a Flask-powered web application, providing users with a seamless interface accessible through a Flask-powered web browser serves to facilitate intuitive and user-friendly communication, making the application versatile, dif
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Kothadiya, Deep, Nitin Pise, and Mangesh Bedekar. "Different Methods Review for Speech to Text and Text to Speech Conversion." International Journal of Computer Applications 175, no. 20 (2020): 9–12. http://dx.doi.org/10.5120/ijca2020920727.

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Dissertations / Theses on the topic "Speech-to-Text"

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Read, Ian Harvey. "Approaches to prosody prediction for text-to-text speech synthesis." Thesis, University of East Anglia, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436699.

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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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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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Romsdorfer, Harald. "Polyglot text to speech synthesis text analysis & prosody control." Aachen Shaker, 2009. http://d-nb.info/993448836/04.

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Mwanyoha, Sadiki Pili 1974. "A speech recognition module for speech-to-text language translation." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9862.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (leaves 47-48).<br>by Sadiki Pili Mwanyoha.<br>S.B.and M.Eng.
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Watts, Oliver Samuel. "Unsupervised learning for text-to-speech synthesis." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7982.

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This thesis introduces a general method for incorporating the distributional analysis of textual and linguistic objects into text-to-speech (TTS) conversion systems. Conventional TTS conversion uses intermediate layers of representation to bridge the gap between text and speech. Collecting the annotated data needed to produce these intermediate layers is a far from trivial task, possibly prohibitively so for languages in which no such resources are in existence. Distributional analysis, in contrast, proceeds in an unsupervised manner, and so enables the creation of systems using textual data t
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Vine, Daniel Samuel Gordon. "Time-domain concatenative text-to-speech synthesis." Thesis, Bournemouth University, 1998. http://eprints.bournemouth.ac.uk/351/.

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A concatenation framework for time-domain concatenative speech synthesis (TDCSS) is presented and evaluated. In this framework, speech segments are extracted from CV, VC, CVC and CC waveforms, and abutted. Speech rhythm is controlled via a single duration parameter, which specifies the initial portion of each stored waveform to be output. An appropriate choice of segmental durations reduces spectral discontinuity problems at points of concatenation, thus reducing reliance upon smoothing procedures. For text-to-speech considerations, a segmental timing system is described, which predicts segmen
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SOLEWICZ, JOSE ALBERTO. "TEXT-TO-SPEECH SYNTHESIS FOR BRAZILIAN PORTUGUESE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1993. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8690@1.

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Este trabalho apresenta um sistema de síntese de voz a partir de texto irrestrito para a língua portuguesa falada no Brasil. O sistema é baseado na técnica de concatenação, por regras, de unidades de voz previamente codificadas. Propõe-se um inventário de unidades de síntese extremamente reduzido (149 unidades) composto, basicamente, por transições consoante-vogal (CV), que representam segmentos acústicos cruciais no processo de produção da fala. Mostrou-se ser possível produzir voz altamente inteligível através da concatenação destas unidades. É proposto, também, o uso de um modelo
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Kullmann, Emelie. "Speech to Text for Swedish using KALDI." Thesis, KTH, Optimeringslära och systemteori, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189890.

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The field of speech recognition has during the last decade left the re- search stage and found its way in to the public market. Most computers and mobile phones sold today support dictation and transcription in a number of chosen languages.  Swedish is often not one of them. In this thesis, which is executed on behalf of the Swedish Radio, an Automatic Speech Recognition model for Swedish is trained and the performance evaluated. The model is built using the open source toolkit Kaldi.  Two approaches of training the acoustic part of the model is investigated. Firstly, using Hidden Markov Model
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Romsdorfer, Harald [Verfasser]. "Polyglot Text-to-Speech Synthesis : Text Analysis & Prosody Control / Harald Romsdorfer." Aachen : Shaker, 2009. http://d-nb.info/1156517354/34.

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Books on the topic "Speech-to-Text"

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

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Tan, Xu. Neural Text-to-Speech Synthesis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0827-1.

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Dutoit, Thierry. An Introduction to Text-to-Speech Synthesis. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5730-8.

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S, Stinson Michael, and Educational Resources Information Center (U.S.), eds. Real-time speech-to-text services. Rochester Institute of Technology, National Technical Institute for the Deaf, Northeast Technical Assistance Center, 1999.

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Rao, K. Sreenivasa. Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1338-7.

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

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Vine, Daniel Samuel Gordon. Time-domain concatenative text-to-speech synthesis. Bournemouth University, 1998.

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

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Shrikanth, Narayanan, and Alwan Abeer, eds. Text to speech synthesis: New paradigms and advances. Prentice Hall Professional Technical Reference, 2005.

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Shinners-Kennedy, Dermot. Text to speech: Synthesis by rule using prolog. The Author), 1987.

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Book chapters on the topic "Speech-to-Text"

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Janokar, Sagar, Soham Ratnaparkhi, Manas Rathi, and Alkesh Rathod. "Text-to-Speech and Speech-to-Text Converter—Voice Assistant." In Inventive Systems and Control. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1624-5_48.

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Shiga, Yoshinori, Jinfu Ni, Kentaro Tachibana, and Takuma Okamoto. "Text-to-Speech Synthesis." In SpringerBriefs in Computer Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0595-9_3.

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Komatineni, Satya, Dave MacLean, and Sayed Y. Hashimi. "Exploring Text to Speech." In Pro Android 3. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3223-0_24.

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Hinterleitner, Florian, Christoph Norrenbrock, Sebastian Möller, and Ulrich Heute. "Text-To-Speech Synthesis." In Quality of Experience. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02681-7_13.

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Owen, Charles B., and Fillia Makedon. "Text-to-Speech Alignment." In Computed Synchronization for Multimedia Applications. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-4830-7_6.

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Klabbers, Esther. "Text-to-Speech Synthesis." In Foundations in Sound Design for Embedded Media. Routledge, 2019. http://dx.doi.org/10.4324/9781315106359-12.

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Sun, Lifa, Shiyin Kang, Xunying Liu, and Helen Meng. "Speech Recognition and Text-to-Speech Synthesis." In Chinese Language Resources. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38913-9_25.

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Goyal, Udit Kumar, Ashish Kapoor, and Prem Kalra. "Text-to-Audiovisual Speech Synthesizer." In Virtual Worlds. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45016-5_24.

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

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Tan, Xu. "Beyond Text-to-Speech Synthesis." In Artificial Intelligence: Foundations, Theory, and Algorithms. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0827-1_12.

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Conference papers on the topic "Speech-to-Text"

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Toyin, Hawau Olamide, Hao Li, and Hanan Aldarmaki. "STTATTS: Unified Speech-To-Text And Text-To-Speech Model." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.401.

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Agrawal, Poorva, Kashish Sharma, Keyur Dhage, Isha Sharma, Nitin Rakesh, and Gagandeep Kaur. "Speech-to-Text Conversion and Text Summarization." In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP). IEEE, 2024. http://dx.doi.org/10.1109/tiacomp64125.2024.00094.

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Li, Yixing, Ruobing Xie, Xingwu Sun, Yu Cheng, and Zhanhui Kang. "Continuous Speech Tokenizer in Text To Speech." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.184.

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Minixhofer, Christoph, Ondřej Klejch, and Peter Bell. "TTSDS - Text-to-Speech Distribution Score." In 2024 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2024. https://doi.org/10.1109/slt61566.2024.10832178.

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Park, Chanjun, Jaehyung Seo, Seolhwa Lee, et al. "BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text." In Proceedings of the 8th Workshop on Asian Translation (WAT2021). Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.wat-1.10.

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Reddy, V. Madhusudhana, T. Vaishnavi, and K. Pavan Kumar. "Speech-to-Text and Text-to-Speech Recognition Using Deep Learning." In 2023 2nd International Conference on Edge Computing and Applications (ICECAA). IEEE, 2023. http://dx.doi.org/10.1109/icecaa58104.2023.10212222.

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Kumar, Rakesh, Meenu Gupta, Palvi Shrama, Nainy Soni, and Kritika Rawat. "NLP-Based text-to-speech and speech-to-text virtual assistant." In INTERNATIONAL CONFERENCE ON INTELLIGENT AND SMART COMPUTATION (ICIASC-2023). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0203299.

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Lero, Rafael Dantas, Chris Exton, and Andrew Le Gear. "Communications using a speech-to-text-to-speech pipeline." In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2019. http://dx.doi.org/10.1109/wimob.2019.8923157.

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Hamad, Mazin, and Mustafa Hussain. "Arabic Text-To-Speech Synthesizer." In 2011 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2011. http://dx.doi.org/10.1109/scored.2011.6148774.

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Yang, Jingzhou, and Lei He. "Towards Universal Text-to-Speech." In Interspeech 2020. ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1590.

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Reports on the topic "Speech-to-Text"

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Simon, Benjamin. Evaluating Cloud-Based Speech-to-Text Services. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-641.

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Pemba, Dhonam. A Novel Speech to Text Model for Children. ResearchHub Technologies, Inc., 2024. http://dx.doi.org/10.55277/researchhub.1fvjf6ov.

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Lee, Michael H. Migrating Dari Clustergen Flite Text-to-Speech Voice from Desktop to Android. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada608577.

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Fatehifar, Mohsen, Josef Schlittenlacher, David Wong, and Kevin Munro. Applications Of Automatic Speech Recognition And Text-To-Speech Models To Detect Hearing Loss: A Scoping Review Protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.1.0029.

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Review question / Objective: This scoping review aims to identify published methods that have used automatic speech recognition or text-to-speech recognition technologies to detect hearing loss and report on their accuracy and limitations. Condition being studied: Hearing enables us to communicate with the surrounding world. According to reports by the World Health Organization, 1.5 billion suffer from some degree of hearing loss of which 430 million require medical attention. It is estimated that by 2050, 1 in every 4 people will experience some sort of hearing disability. Hearing loss can si
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Hanners, Michael, and Danny Carter. Text to Speech (TTS) Capabilities for the Common Driver Trainer (CDT). Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada531778.

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Oran, D. Requirements for Distributed Control of Automatic Speech Recognition (ASR), Speaker Identification/Speaker Verification (SI/SV), and Text-to-Speech (TTS) Resources. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4313.

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Lebedenko, Nataliia. Комунікативні дієслова в текстах новинних повідомлень (за матеріалами інформаційного агентства «Укрінформ»). Ivan Franko National University of Lviv, 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11743.

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The article is devoted to the analysis of communicative verbs. Scientists analyzed communicative verbs in artistic texts, in biblical texts, and fairy tales. But there are no scientific works on verbs of speech in the language of the media. The Ukrainian language has all the means by which you can create a concrete and imaginative informational text. It is the verbs that make the text come alive. These are action words that improve the orality of the text. The research is based on the materials of the Ukrinform information agency. Speech verbs from 10 news reports for December 3, 2022 were ana
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Бережна, Маргарита Василівна. Translator’s Gender in the Target Text. Publishing House “Baltija Publishing”, 2020. http://dx.doi.org/10.31812/123456789/4140.

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For the last three decades, the issue of translator’s gender and its representation in the target text has been actively researched in translation studies. Over the period there appeared numerous, sometimes contradicting views on markers of feminine / masculine / other types of speech, on whether the translator’s gender is revealed in the target text, and on the quality of translation depending on the translator’s gender. The present paper focuses on the translator’s gender markers in the target text. Taking into account the results of other linguists and my own observations, I consider the re
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OSETROVA, O., A. STOKOLYAS, and D. KHUSAINOVA. CHARACTERISTIC ASPECTS OF TRANSLATING ROMANCE NOVELS. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2077-1770-2021-13-4-2-94-103.

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Peculiarities of translating romance novels are considered in the article. Examples from the novel by Kristan Higgins “Too good to be true” are given in order corresponding to their manifestation in the book. Special attention is given to the translation of realities. The main translation techniques used are transliteration and transcription, calquing, and combinations (concerning onomastic realities), descriptive translation and approximation (concerning everyday realities and associations). Besides, it is mentioned, that gender dimension is extremely pragmatically valid in the context of oth
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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 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 i
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