Academic literature on the topic 'Speech'

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Journal articles on the topic "Speech"

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Mohamad Nasir, A. B., N. R. M. Nasir, and F. H. M. Salleh. "SPEESH: speech-based mobile application for dysarthric speech recognition." Journal of Physics: Conference Series 1860, no. 1 (2021): 012003. http://dx.doi.org/10.1088/1742-6596/1860/1/012003.

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Rogers, David, and Geoffrey Hill. "Speech! Speech!" World Literature Today 76, no. 1 (2002): 152. http://dx.doi.org/10.2307/40157092.

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Mohammed Hashim, Suhair Safwat. "Speech Acts in Political Speeches." Journal of Modern Education Review 5, no. 7 (2015): 699–706. http://dx.doi.org/10.15341/jmer(2155-7993)/07.05.2015/008.

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Laird, Andrew. "Speech in Speech." Classical Review 49, no. 2 (1999): 417–18. http://dx.doi.org/10.1093/cr/49.2.417.

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Chowdhury, Manav, Ayush Kumar Sahu, and Abhishek Kumar Dewangan. "Research Paper: Speech-to-Speech Translation (SST)." International Journal of Research Publication and Reviews 6, no. 4 (2025): 13316–18. https://doi.org/10.55248/gengpi.6.0425.1626.

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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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Park, Seongjin. "Interpretation of speech rhythm: Speech error, speech rhythm, and speech proficiency." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A343. http://dx.doi.org/10.1121/10.0019094.

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It has been well-known that second language learners are affected by their first language when producing their L2. For speech rhythm, it has been suggested that L2 speakers are affected by L1 speech rhythm (e.g., Korean learners of English produce English without reducing the duration of unstressed vowels), and the effect is greater when speakers are beginner or intermediate-level language learners. This study, however, suggests that the direction of the effect is not always the same as researchers expected, and shows how easily speech rhythm is influenced by speech errors. The result of this
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Janai, Siddhanna, Shreekanth T., Chandan M., and Ajish K. Abraham. "Speech-to-Speech Conversion." International Journal of Ambient Computing and Intelligence 12, no. 1 (2021): 184–206. http://dx.doi.org/10.4018/ijaci.2021010108.

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A novel approach to build a speech-to-speech conversion (STSC) system for individuals with speech impairment dysarthria is described. STSC system takes impaired speech having inherent disturbance as input and produces a synthesized output speech with good pronunciation and noise free utterance. The STSC system involves two stages, namely automatic speech recognition (ASR) and automatic speech synthesis. ASR transforms speech into text, while automatic speech synthesis (or text-to-speech [TTS]) performs the reverse task. At present, the recognition system is developed for a small vocabulary of
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Widari, Kadek, and Ni Luh Yaniasti. "Japanese Directive Speech." International Journal of Multidisciplinary Sciences 1, no. 2 (2023): 147–58. http://dx.doi.org/10.37329/ijms.v1i2.2285.

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Language in role as a means of communication could result in relationships between speakers of to said. The use of language in the process of communication is very important, because community life is made possible by speech. Speechs are used to information of ideas, intentions directly or indirectly. Speech act serves to declare mean it is speakers by speech partners of said. Directive speech is the type of a speech that used by speakers of to send the speech partner said do something. The use of directive speech in conveying a speech should look factors affecting the speech. The porpuse in t
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Oder, Alp Bugra. "Speech Acts Revisited: Examining Illocutionary Speech Acts in Speeches of Mustafa Kemal Ataturk." Proceedings of The International Conference on Research in Humanities and Social Sciences 1, no. 1 (2023): 24–35. http://dx.doi.org/10.33422/icrhs.v1i1.130.

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Pragmatics is an interdisciplinary subfield of applied linguistics that investigates the meaning in context. One of its research areas, speech acts, provides important implications on how the meaning behind the utterances is perceived and what effect it may have on the hearer. Theories and classifications proposed by Austin (1962) and Searle (1979) are particularly useful in understanding the hidden meaning and its effect on the audience. Political discourse is directly connected with speech acts and there is a body of research that focuses on the classification of illocutionary acts embedded
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Dissertations / Theses on the topic "Speech"

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Sun, Felix (Felix W. ). "Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106378.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 59-63).<br>The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling
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Alcaraz, Meseguer Noelia. "Speech Analysis for Automatic Speech Recognition." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9092.

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<p>The classical front end analysis in speech recognition is a spectral analysis which parametrizes the speech signal into feature vectors; the most popular set of them is the Mel Frequency Cepstral Coefficients (MFCC). They are based on a standard power spectrum estimate which is first subjected to a log-based transform of the frequency axis (mel- frequency scale), and then decorrelated by using a modified discrete cosine transform. Following a focused introduction on speech production, perception and analysis, this paper gives a study of the implementation of a speech generative model; where
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Kleinschmidt, Tristan Friedrich. "Robust speech recognition using speech enhancement." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/31895/1/Tristan_Kleinschmidt_Thesis.pdf.

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Automatic Speech Recognition (ASR) has matured into a technology which is becoming more common in our everyday lives, and is emerging as a necessity to minimise driver distraction when operating in-car systems such as navigation and infotainment. In “noise-free” environments, word recognition performance of these systems has been shown to approach 100%, however this performance degrades rapidly as the level of background noise is increased. Speech enhancement is a popular method for making ASR systems more ro- bust. Single-channel spectral subtraction was originally designed to improve hu- man
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Blank, Sarah Catrin. "Speech comprehension, speech production and recovery of propositional speech following aphasic stroke." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407772.

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Price, Moneca C. "Interactions between speech coders and disordered speech." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28640.pdf.

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Chong, Fong Loong. "Objective speech quality measurement for Chinese speech." Thesis, University of Canterbury. Computer Science and Software Engineering, 2005. http://hdl.handle.net/10092/9607.

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In the search for the optimisation of transmission speed and storage, speech information is often coded, or transmitted with a reduced bandwidth. As a result, quality and/or intelligibility are sometimes degraded. Speech quality is normally defined as the degree of goodness in the perception of speech while speech intelligibility is how well or clearly one can understand what is being said. In order to assess the level of acceptability of degraded speeches, various subjective methods have been developed to test codecs or sound processing systems. Although good results have been demonstra
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Stedmon, Alexander Winstan. "Putting speech in, taking speech out : human factors in the use of speech interfaces." Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420342.

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Miyajima, C., D. Negi, Y. Ninomiya, et al. "Audio-Visual Speech Database for Bimodal Speech Recognition." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10460.

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Tang, Lihong. "Nonsensical speech : speech acts in postsocialist Chinese culture /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/6662.

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Itakura, Fumitada, Tetsuya Shinde, Kiyoshi Tatara, et al. "CIAIR speech corpus for real world speech recognition." The oriental chapter of COCOSDA (The International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques), 2002. http://hdl.handle.net/2237/15462.

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Books on the topic "Speech"

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Hill, Geoffrey. Speech! Speech! Penguin Books, 2001.

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Kidawara, Yutaka, Eiichiro Sumita, and Hisashi Kawai, eds. Speech-to-Speech Translation. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0595-9.

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Kitano, Hiroaki. Speech-to-Speech Translation. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2732-9.

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Ayers, Joe. Speech sampler: Speeches and analyses. 2nd ed. Communication Ventures, 1999.

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Affairs, Canada Dept of External. Speech. s.n, 1988.

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Checkland, Michael. Speech. BBC Corporate Press Office, 1987.

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Hardcastle, William J. Speech Production and Speech Modelling. Springer Netherlands, 1990.

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NATO, Advanced Study Institute on Speech Production and Speech Modelling (1st 1989 Bonas France). Speech production and speech modelling. Kluwer Academic Publishers, 1990.

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Spicer, Robert N. Free Speech and False Speech. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69820-5.

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Hardcastle, William J., and Alain Marchal, eds. Speech Production and Speech Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2037-8.

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Book chapters on the topic "Speech"

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Danon-Boileau, Laurent. "Associative Speech, Compulsive Speech." In Psychoanalysts in Session. Routledge, 2020. http://dx.doi.org/10.4324/9780429196751-1a.

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Hartmann, William M. "Speech." In Principles of Musical Acoustics. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6786-1_22.

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Turkstra, Lyn S. "Speech." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_923.

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Turkstra, Lyn S. "Speech." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_923-3.

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Weik, Martin H. "speech." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17909.

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Bean Ellawadi, Allison. "Speech." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-6435-8_1699-3.

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Bean, Allison. "Speech." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1699.

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Howard-Jones, Paul. "Speech." In Evolution of the Learning Brain. Routledge, 2018. http://dx.doi.org/10.4324/9781315150857-6.

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Lucey, Michael. "Speech." In The Proustian Mind. Routledge, 2022. http://dx.doi.org/10.4324/9780429341472-16.

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Tait, James. "Speech." In Entering Architectural Practice. Routledge, 2020. http://dx.doi.org/10.4324/9780429346569-22.

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Conference papers on the topic "Speech"

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Veerappan, Chandra Sekar, Priyanshu Dhingra, Daniel Zhengkui Wang, and Rong Tong. "SpeeDF - A Speech De-Identification Framework." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902957.

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Zhao, Jinzheng, Niko Moritz, Egor Lakomkin, et al. "Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889740.

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Kobayashi, Akio, and Keiichi Yasu. "Speech Enhancement for Degraded Radio Speech." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760247.

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Li, Zhipeng, Xiaofen Xing, Jun Wang, et al. "As-Speech: Adaptive Style For Speech Synthesis." In 2024 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2024. https://doi.org/10.1109/slt61566.2024.10832337.

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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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Han, HyoJung, Kevin Duh, and Marine Carpuat. "SpeechQE: Estimating the Quality of Direct Speech Translation." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1218.

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Tian, Jinchuan, Jiatong Shi, William Chen, et al. "ESPnet-SpeechLM: An Open Speech Language Model Toolkit." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-demo.12.

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Mondal, Anindita, Anil Kumar Vuppala, and Chiranjeevi Yarra. "IIIT-Speech Twins 1.0: An English-Hindi Parallel Speech Corpora for Speech-to-Speech Machine Translation and Automatic Dubbing." In 2024 27th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA). IEEE, 2024. https://doi.org/10.1109/o-cocosda64382.2024.10800086.

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Alonso-Mora, Javier. "Keynote Speeches *Ranked by speech time Keynote Speech 1." In 2020 3rd International Conference on Unmanned Systems (ICUS). IEEE, 2020. http://dx.doi.org/10.1109/icus50048.2020.9274922.

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Louw, Johannes A., Daniel R. van Niekerk, and Georg I. Schlünz. "Introducing the Speect speech synthesis platform." In The Blizzard Challenge 2010. ISCA, 2010. http://dx.doi.org/10.21437/blizzard.2010-4.

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Reports on the topic "Speech"

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Weinstein, C. J. Speech-to-Speech Translation: Technology and Applications Study. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401684.

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Samuel, Arthur G. Levels of Processing of Speech and Non-Speech. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237796.

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Gordon, Jane. Use of synthetic speech in tests of speech discrimination. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5327.

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Cassidy, William, and Elisabeth Kempf. Partisan Corporate Speech. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33810.

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Ore, Brian M. Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada519140.

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Artayev, S. N., L. A. Lidzhiyeva, and ZH A. Mukabenova. Listen to native speech! OFERNIO, 2019. http://dx.doi.org/10.12731/ofernio.2019.24050.

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Sabrin, Howard. UNIX Speech Processing Development. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada332983.

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Hogden, J. An articulatorily constrained, maximum entropy approach to speech recognition and speech coding. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/432946.

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Shao, Yang, Soundararajan Srinivasan, Zhaozhang Jin, and DeLiang Wang. A Computational Auditory Scene Analysis System for Speech Segregation and Robust Speech Recognition. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ad1001212.

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Josephson, John, and James Russell. Separation of Speech from Background. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428696.

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