Relevant bibliographies by topics / Speech Codes

Contents

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

Academic literature on the topic 'Speech Codes'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Speech Codes"

1

Gill, Ann M. "Revising Campus Speech Codes." Free Speech Yearbook 31, no. 1 (January 1993): 124–37. http://dx.doi.org/10.1080/08997225.1993.10556157.

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Riley, Gresham. "The Cost of Speech Codes." Academe 79, no. 4 (1993): 26. http://dx.doi.org/10.2307/40250507.

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Sedler, Robert A., and Jon B. Gould. "Speech Codes Are Still Dead." Academe 92, no. 3 (2006): 103. http://dx.doi.org/10.2307/40252936.

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Grey, Thomas C. "Slogans, amens, and speech codes." Academic Questions 10, no. 3 (September 1997): 18–24. http://dx.doi.org/10.1007/s12129-997-1096-y.

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Yellin, Joel. "Letters: Speech Codes' Unstable Slope." Academe 78, no. 3 (1992): 7. http://dx.doi.org/10.2307/40250323.

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MacDonald, R. I., J. R. Serson, and D. Johnson. "Speech compression with Huffman codes." Canadian Journal of Electrical and Computer Engineering 16, no. 1 (January 1991): 19–22. http://dx.doi.org/10.1109/cjece.1991.6591240.

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Wilson, Fred. "In defence of speech codes." Interchange 27, no. 2 (June 1996): 125–59. http://dx.doi.org/10.1007/bf01807292.

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Sunstein, Cass R. "Liberalism, Speech Codes, and Related Problems." Academe 79, no. 4 (1993): 14. http://dx.doi.org/10.2307/40250506.

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Williams, Philip F., and Clement W. Meighan. "Letters: Speech Codes and Alarmist Rhetoric." Academe 80, no. 4 (1994): 3. http://dx.doi.org/10.2307/40250631.

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ER AYDEMİR, Nermin, and Bekir DİREKCİ. "ORHON SPEECHS AS A SOURCE OF NATIONAL LANGUAGE POLICY AND BASIC LANGUAGE SKILLS IN TURKISH." Zeitschrift für die Welt der Türken / Journal of World of Turks 13, no. 2 (August 15, 2021): 69–86. http://dx.doi.org/10.46291/zfwt/130204.

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Other than having the feature of being a literary genre, the speech forms the basis of language, culture and education policies since it has the nature of the declaration and advice of the state administrator. Speeches can be considered as constituent language teaching policy texts in terms of their purpose and content while functioning as the construction and preservation of the state tradition. As a matter of fact, the speeches can be viewed from the context of self-presentation to the community represented by the state administrator, and in one respect they contain suggestions for the interlocutor. In the speeches of Turkish cultural history, this interlocutor is not any community or citizen, but directly the Turkish nation. Speeches addressing the Turkish nation also contain codes of strategic importance for nation-based state structuring. Among the specified codes, the codes for Turkish education are also important. In the study, while the function of speech type in the context of language policy was determined in the context of linguistics and educational science, the importance and function of speeches for Turkish education in the history of Turkish education were tried to be determined by linguistic methods. Key Words: Turkish education, speech, linguistics, language policy.
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Dissertations / Theses on the topic "Speech Codes"

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Johnson, Aaron Keith, and Aaron Keith Johnson. "Campus Speech Codes: A Legal and Philosophical View." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625015.

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The goal of this paper is to determine what needs to change about campus speech codes in order for them to succeed against First Amendment challenges. Campus speech codes are a popular solution to the problem of hate speech on campuses. However, many commentators argue that these speech codes are either unethical or unconstitutional. Additionally, speech codes have historically been struck down the courts. This paper assesses the legal history of hate speech regulation, the commentary surrounding the law, and prior court cases in which speech codes were struck down in order to determine what types of hate speech are valid targets of regulation and why speech codes have been struck down in the past. Further, this paper attempts to determine what types of hate speech actually should be regulated based on ethical and practical considerations. Finally, this paper provides a set of guidelines which should help universities construct morally permissible speech codes which will succeed against First Amendment challenges.
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Rouchy, Christophe. "Systematic Design of Space-Time Convolutional Codes." Thesis, University of California, Santa Cruz, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1554232.

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Space-time convolutional code (STCC) is a technique that combines transmit diversity and coding to improve reliability in wireless fading channels. In this proposal, we demonstrate a systematic design of multi-level quadrature amplitude modulation (M-QAM) STCCs utilizing quadrature phase shift keying (QPSK) STCC as component codes for any number of transmit antennas. Morever, a low complexity decoding algorithm is introduced, where the decoding complexity increases linearly by the number of transmit antennas. The approach is based on utilizing a group interference cancellation technique also known as combined array processing (CAP) technique.

Finally, our research topic will explore: with the current approach, a scalable STTC with better performance as compared to space- time block code (STBC) combined with multiple trellis coded modulation (MTCM) also known as STBC-MTCM; the design of low complexity decoder for STTC; the combination of our approach with multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM).

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Leighter, James L. "Codes of commonality and cooperation : notions of citizen personae and citizen speech codes in American public meetings /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6178.

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Minter, Sam. "Speech on College Campuses: Methods, Motives, and Movements." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1698.

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Are campus movements concerning free speech—from Berkeley in the 1960s to the campaign against political correctness today—really about speech? Are movements really concerned with civil liberties on campus or are their calls for free speech excited by partisan motives? While free speech movements are never purely driven by civil libertarian concerns, they should not be considered simply partisan either. Campus speech movements have frequently united activists across the ideological spectrum, which suggests that these movements aren’t only sectarian in nature. It also confirms that these movements are in fact about speech, because those advocating for it have a wide range of motives, but free speech is the point of agreement. However, this is not to say that there aren’t ulterior partisan underpinnings in these pushes for free speech.
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Rao, Sudha Suzanne. "Literacy as a learner variable in the use of salient letter codes for dedicated speech computers." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27622.

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Literacy level is an important user variable in the process of selecting an appropriate augmentative communication device for a nonspeaking individual. This study investigated how much literacy was sufficient for a child to learn and remember salient letter codes to access prestored communicative messages from the memory of dedicated speech computers. Recent investigations (Light et al., 1988) have demonstrated that salient letter codes are the type of code most easily and accurately remembered by nonspeaking, literate adults. The present study examined the use of the salient letter encoding technique by children with varying degrees of literacy. The performance of three groups of normal children (19 literate, 21 emergent literate and 21 preliterate) was measured in terms of error rate and strategy use as a function of literacy ability after specific codes and the salient letter encoding strategy were explicitly taught for accessing ten communicative messages. Error analysis showed that the emergent literate and literate groups used the salient letter encoding strategy whereas the preliterate group used two ineffective visual strategies. Mean accuracy scores indicated mastery of the salient letter encoding technique by literate subjects (89% correct), sufficient performance by emergent literate subjects (66% correct) and very poor performance by preliterate subjects (27% correct). The accuracy scores and patterns of strategy use indicated that emergent literacy skills were sufficient for use of salient letter codes. It seems likely that future research using personalized codes with emergent literate children may demonstrate improved accuracy. The generalizability of these results to disordered populations and application to iconic systems was discussed. Extrapolated to the nonspeaking population, the results indicate that literate or emergent literate nonspeaking children would be capable users of salient letter codes. The performance of the three experimental groups was compared from the heuristic of a procedural view of memory with regard to opposing views of the nature of psycholinguistic and literacy development.
Medicine, Faculty of
Audiology and Speech Sciences, School of
Graduate
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Amazouz, Djegdjiga. "Linguistic and phonetic investigations of French-Algerian Arabic code-switching : large corpus studies using automatic speech processing." Thesis, Paris 3, 2019. http://www.theses.fr/2019PA030006.

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Cette thèse présente des recherches linguistiques et phonétiques sur le code-switching Français-Arabe Algérien. Un corpus de 7h30 de parole (5h de parole spontané et 2h30 de parole lue) a été constitué en enregistrant 20 hommes et femmes parlant le français et l'arabe algérien. Cette thèse présente également les méthodes de traitement des données orales du code-switching telles que la segmentation de la parole, la segmentation des énoncés de code-switching ainsi que la transcription du français et du dialecte arabe algérien. Cette thèse présente également des méthodes d'alignement automatique de ces données bilingues ainsi qu'un alignement combiné de deux alignements monolingues. Nous avons mené des expériences basées sur l'alignement automatique avec des variations qui traitent de la question de l'influence d'un système phonologique d'une langue A sur des productions phonétiques en code-switching du français et de l'arabe algérien. Nous avons d'abord abordé la variation en réalisant une étude sur la variation des voyelles, dans des productions en langue française et en arabe algérien. Nous avons aussi abordé les consonnes emphatiques et l'emphatisation des deux langues. Enfin, nous avons également travaillé sur les géminées et la gémination dans les productions langagières en code-switching. Les résultats ont montré que le code-switching FR-AA se caractérise par des changements de langues très courts qui sont un réel défi pour l’identification des langues dans le code-switching. Le code-switching a un impact sur la variation phonétique des voyelles et des consonnes. La parole du code-switching permet au locuteur de produire moins de variation de voyelles et de consonnes que la parole monolingue
This thesis proposes linguistic and phonetic investigations of French-Algerian Arabic code-switching. A corpus of 7h30 of speech (5h of spontaneous speech and 2h30 of read speech) has been designed with 20 males and females French-Algerian Arabic speakers.This thesis also proposes code-switching speech data processing methods such as language segmentation, code-switching utterance segmentation and transcription of French and Algerian Arabic dialect. Automatic speech alignment methods of the code-switching data are proposed with combined alignment of two monolingual alignments. We conducted experiments based on language automatic identification and automatic alignment with variations that deals with the question of the influence of a phonological system of a language A on code-switching speech in phonetic productions of French and Algerian Arabic. We dealt first with identifying the language change boundaries. We performed also a variation study on vowel variation, in both French and Arabic productions. Finally, we dealt with three types of consonant variation in the code-switching speech: gemination, emphatization and voicing consonant as variants in production. The results shown that the code-switching French-Algerian Arabic is characterized by very short language switches witch constitute a big challenge to the code-switching languages identification . The code-switching has an impact of the phonetic variation in both vowel and consonants. The code-switching allows the speakers to produce less vowel and consonant variation than the monolingual speech
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How, Hee Thong. "Wideband speech and audio compression for wireless communications." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342850.

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Madour, Lila. "A low-delay code excited linear prediction speech coder at 8 kbit/s /." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68042.

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The goal of this thesis is to design a high quality low-delay 8 kb/s speech coder. This research is motivated by the need of the telecommunication industries to standardize a high quality, low-delay and low rate speech coder. To meet these requirements, we use a coder based on code-existed linear prediction. To meet the demands of high quality and low bit rate, a vector quantizer is used to code the excitation signal. To meet the low-delay requirement, a backward adaptation technique of the synthesis filters is used. The focus of the research is on comparing different pitch synthesis filters in the CELP coder. From the three-order pitch synthesis filter, the first-order integer delay pitch synthesis filter and the first-order fractional delay pitch synthesis filter that are experimented in this research, the latter produces the best quality.
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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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Bacha, Gabrielle Marie Bacha. "Individual and Community Rights Within University Conduct Systems." Ohio University Art and Sciences Honors Theses / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1461675735.

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Books on the topic "Speech Codes"

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George, Anastaplo. Campus hate-speech codes and twentieth century atrocities. Lewiston: E. Mellen Press, 1997.

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Campus hate-speech codes, natural right, and twentieth century atrocities. Lewiston, N.Y: E. Mellen Press, 1999.

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Korwar, Arati R. War of words: Speech codes at public colleges and universities. Nashville, Tenn: Freedom Forum First Amendment Center, 1994.

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Vary, Peter. Digital Speech Transmission. New York: John Wiley & Sons, Ltd., 2006.

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Bernstein, David E. The right of expressive association and private universities' racial preferences and speech codes. Arlington, Va: George Mason University School of Law, 2001.

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Rainer, Martin, ed. Digital speech transmission: Enhancement, coding, and error concealment. Chichester, West Sussex, England: Wiley, 2005.

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Bilingual speech: A typology of code-mixing. Cambridge, UK: Cambridge University Press, 2000.

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Finally comes the poet: Daring speech for proclamation. Minneapolis: Fortress Press, 1989.

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Speech coding algorithms: Foundation and evolution of standardized coders. Hoboken, N.J: J. Wiley, 2003.

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Boyd, Samuel Thomas. Implementation and evaluation of a 4.8kbps CELP speech coder. [s.l: The Author], 1994.

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Book chapters on the topic "Speech Codes"

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Paulus, Dietrich W. R., and Joachim Hornegger. "Chain Codes." In Pattern Recognition of Images and Speech in C++, 281–90. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-663-13991-1_22.

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Bassett, Deborah R. "Evidence for Multiple Speech Codes." In Nanotechnology and Scientific Communication, 115–30. New York: Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-349-95201-4_5.

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Nygrýn, Pavel, and Robert Batůšek. "Dialogue Generation of Program Source Codes." In Text, Speech and Dialogue, 388–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44805-5_52.

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Bocharova, Irina E., Victor D. Kolesnik, Victor Yu Krachkovsky, Boris D. Kudryashov, Eugeny P. Ovsjannikov, and Boris K. Troyanovsky. "On trellis codes for linear predictive speech compression." In Lecture Notes in Computer Science, 115–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58265-7_16.

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López-Oller, Domingo, Angel M. Gomez, and José L. Pérez-Córdoba. "A Novel Error Mitigation Scheme Based on Replacement Vectors and FEC Codes for Speech Recovery in Loss-Prone Channels." In Advances in Speech and Language Technologies for Iberian Languages, 44–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49169-1_5.

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Lefebvre, Roch, and Philippe Gournay. "Speech Coders." In Handbook of Signal Processing in Acoustics, 587–620. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_31.

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Oudeyer, Pierre-Yves. "From Vocal Replication to Shared Combinatorial Speech Codes: A Small Step for Evolution, A Big Step for Language." In Emergence of Communication and Language, 207–21. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-779-4_10.

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Perkis, Andrew. "Speech Codec Systems." In Satellite Communications, 233–68. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3230-9_6.

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Moreau, Nicolas. "A Speech Coder." In Tools for Signal Compression, 163–72. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118616611.ch10.

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Fant, Gunnar. "The Speech Code." In Brain and Reading, 171–82. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10732-2_12.

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Conference papers on the topic "Speech Codes"

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Fischer, Thomas R., Hosang Sung, Jie Zhan, and Eunmi Oh. "High-quality audio transform coded excitation using trellis codes." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4517580.

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Dongyang Long and Weijia Jia. "Optimal maximal and maximal prefix codes equivalent to Huffman codes." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005199.

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Sobron, Iker, Maitane Barrenechea, Pello Ochandiano, Lorena Martinez, Mikel Mendicute, and Jon Altuna. "Low-complexity detection of golden codes in LDPC-coded OFDM systems." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946692.

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Zhao, Shengmei, Peng Shi, and Bei Wang. "Polar codes and its application in speech communication." In Signal Processing (WCSP 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcsp.2011.6096731.

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Chakraborty, Rupayan, and Sunil Kumar Kopparapu. "Improved speech emotion recognition using error correcting codes." In 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2016. http://dx.doi.org/10.1109/icmew.2016.7574707.

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Balado, Felix, and David Haughton. "Permutation codes and steganography." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638199.

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Hassibi and Hochwald. "Multi-antenna Cayley differential codes." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005120.

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Lefevre, Pascal, Philippe Carre, and Philippe Gaborit. "Watermarking and Rank Metric Codes." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462647.

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Mixon, Dustin G., Christopher Quinn, Negar Kiyavash, and Matthew Fickus. "Equiangular tight frame fingerprinting codes." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946867.

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Muller, Markus, Sebastian Stuker, and Alex Waibel. "Neural Codes to Factor Language in Multilingual Speech Recognition." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683484.

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Reports on the topic "Speech Codes"

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Chen, J. H., W. Lee, and J. Thyssen. RTP Payload Format for BroadVoice Speech Codecs. RFC Editor, December 2005. http://dx.doi.org/10.17487/rfc4298.

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Ikonin, S. RTP Payload Format for IP-MR Speech Codec. RFC Editor, August 2011. http://dx.doi.org/10.17487/rfc6262.

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Quatieri, T. F., E. Singer, R. B. Dunn, D. A. Reynolds, and J. P. Campbell. Speaker and Language Recognition Using Speech Codec Parameters. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada526525.

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Spittka, J., and K. Vos. RTP Payload Format for the Opus Speech and Audio Codec. RFC Editor, June 2015. http://dx.doi.org/10.17487/rfc7587.

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Hazi, A. Improved Algorithms Speed It Up for Codes. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/883730.

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Hiwasaki, Y., and H. Ohmuro. RTP Payload Format for mU-law EMbedded Codec for Low-delay IP Communication (UEMCLIP) Speech Codec. RFC Editor, October 2009. http://dx.doi.org/10.17487/rfc5686.

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Kawamitsu, Izumi. Multiple Code Switching in an Okinawan Speech Community: An Ethnographic Perspective. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5980.

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Nealis, Tom. Code Speed Measuring for VC++. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ada627180.

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Herlein, G., J. Valin, A. Heggestad, and A. Moizard. RTP Payload Format for the Speex Codec. RFC Editor, June 2009. http://dx.doi.org/10.17487/rfc5574.

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Yesha, Yaacov. Channel coding for code excited linear prediction (CELP) encoded speech in mobile radio applications. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5503.

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