Relevant bibliographies by topics / Sonagrams of the voice

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

Academic literature on the topic 'Sonagrams of the voice'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Sonagrams of the voice"

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Schreibweiss-Merin, Diane, and Lee M. Terrio. "Acoustic Analysis of Diplophonia: A Case Study." Perceptual and Motor Skills 63, no. 2 (October 1986): 755–65. http://dx.doi.org/10.2466/pms.1986.63.2.755.

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This study reports the acoustic findings of a female speaker who could volitionally produce a diplophonic voice. The subject's normal and diplophonic speech patterns are compared in terms of intensity, frequency, and duration. Sample Sonagraphs of the subject's diplophonic voice pattern are presented.
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Kontis, S., T. S. Padayachee, and R. G. Gosling. "Chromaticity-coded doppler blood velocity sonagrams: Preliminary observations." Ultrasound in Medicine & Biology 14, no. 6 (January 1988): 473–77. http://dx.doi.org/10.1016/0301-5629(88)90107-x.

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Jones, G., and C. Corben. "Echolocation calls from six species of microchiropteran bats in south-eastern Queensland." Australian Mammalogy 16, no. 1 (1993): 35. http://dx.doi.org/10.1071/am93006.

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Echolocation calls were recorded from six species of microchiropteran bats (Rhinolophus megaphyllus, Miniopterus australis, M. schreibersii, Eptesicus pumilus, Chalinolobus gouldii and Scotorepens greyii) in the Brisbane area. All species were recorded in free-flight when searching for prey in the wild, with some also recorded in roosts and in the hand. Sonagrams are presented for use in species identification.
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Saevi, Tone. "Voice No Voice Counter Voice..." Phenomenology & Practice 12, no. 1 (March 30, 2018): 1–3. http://dx.doi.org/10.29173/pandpr29353.

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Jones, Alexandra E., Carel ten Cate, and Catrien C. J. H. Bijleveld. "The interobserver reliability of scoring sonagrams by eye: a study on methods, illustrated on zebra finch songs." Animal Behaviour 62, no. 4 (October 2001): 791–801. http://dx.doi.org/10.1006/anbe.2001.1810.

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Pickstock, John C., John R. Krebs, and Saville Bradbury. "QUANTITATIVE COMPARISON OF SONAGRAMS USING AN AUTOMATIC IMAGE ANALYSER: APPLICATION TO SONG DIALECTS OF CHAFFINCHES FRINIGILLA COELEBS." Ibis 122, no. 1 (April 3, 2008): 103–9. http://dx.doi.org/10.1111/j.1474-919x.1980.tb00878.x.

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Rabinowitz, Nancy Sorkin. "Personal Voice/Feminist Voice." Arethusa 34, no. 2 (2001): 191–210. http://dx.doi.org/10.1353/are.2001.0014.

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Sangani, K. "Inner voice [voice recognition]." Engineering & Technology 8, no. 7 (August 1, 2013): 36–37. http://dx.doi.org/10.1049/et.2013.0717.

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Taguchi, Aki, Masamitsu Hyodo, and Osamu Shiromoto. "Voice Therapy for Voice Disorders." Koutou (THE LARYNX JAPAN) 20, no. 2 (2008): 99–103. http://dx.doi.org/10.5426/larynx1989.20.2_99.

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Whiting, Anita, and Naveen Donthu. "Managing Voice-to-Voice Encounters." Journal of Service Research 8, no. 3 (February 2006): 234–44. http://dx.doi.org/10.1177/1094670505281703.

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Dissertations / Theses on the topic "Sonagrams of the voice"

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Roberts, Briony Z. Jr. "Dialects, Sex-specificity, and Individual Recognition in the Vocal Repertoire of the Puerto Rican Parrot (Amazona vittata)." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/79692.

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The following study is part of a larger study examining techniques that might be of use in the release program of the Puerto Rican Parrot (Amazona vittata), including marking, capturing, and radio-tracking. The portion of the study reported here documents the vocal behavior of A. vittata during the reproductive season and examines the possibility of using vocalizations to identify individuals, determine the sex of individuals and determine the location of an individual's breeding territory. Objectives of this study included: 1) cataloguing and categorizing the vocal repertoire of A. vittata, 2) determining whether the vocal repertoire was sex-specific and region-specific and 3) determining if an individual's vocal repertoire could be used to identify it. The vocal repertoire was characterized using a hierarchical method and 147 calls were described. The repertoire was found contain a high percentage (76 %) of graded calls. Evolutionary strategies that may explain the complexity of such a repertoire are discussed. The vocal repertoire was found to be both sex- and region-specific. Characteristics analyzed included time and frequency parameters of sonagrams. Three methods were used to determine the feasibility of vocal recognition of individuals. These methods included: bird-call pairing, sonagraphic analysis, and linear predictive coding. Sonagraphic analyses in combination with linear predictive coding techniques show the most promise as tools in voice recognition of the parrot, however, further research will be necessary to determine how reliable voice recognition may be as a method for identifying individuals in the field.
Master of Science
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Landon, Rocky. "Voice, whose voice is it, anyway?" Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ31220.pdf.

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Wang, Hans S. M. Massachusetts Institute of Technology. "Voice wars : smart speakers, voice assistants, and strategies for building a successful voice ecosystem." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122259.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019
Page 99 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 96-98).
In recent years, voice-powered digital assistants have exploded into the consumer mainstream as an important new form of human-computer interaction. Powered by dramatic improvements in speech recognition and artificial intelligence (Al) technologies over the last decade, digital voice assistants are now abundantly prevalent in modem consumer electronic devices ranging from mobile phones, to smart speakers, to wearables. As the technology matures and the availability of big data used by digital assistants proliferates, voice will soon become a primary modality by which people interact and accomplish tasks. Many of these tasks will be accomplished in consumer homes and digital voice assistants present a significant new opportunity where voice and the physical home intersect to dramatically reshape how consumers live in their home.
This also represents a tremendous opportunity for companies in the digital assistant industry, and, in order to successfully leverage this nascent technology, they will need to understand both their own strategic goals as well as their direct and indirect competitors' strategies in building a business ecosystem around voice-first digital assistants. A fierce struggle has begun - not just amongst current technology titans (i.e. Google, Amazon, Apple, Microsoft), but also involving key incumbent players in the home media and electronics industry (e.g. Samsung, Sonos, Bang & Olufsen).
The goals of this thesis, with respect to the current industry leaders in the digital assistant and smart home space, are to 1) understand the current landscape of the digital assistant voice ecosystem, 2) elucidate each major players' current voice-powered digital assistant platform strategy, 3) analyze the consumer adoption, selection, and diffusion mechanisms for digital voice assistants in the consumer smart home, and 4) determine what the likely outcomes are for each major player as well as the likelihood of success and associated risks with the current ecosystem and platforming strategies employed. Finally, through additional market analysis and industry projections, strategic recommendations will be presented to guide each key player over the next decade. Following these recommendations will be key to winning the digital assistant voice wars and for creating a successful and sustainable voice technology ecosystem in the personal digital assistant market.
by Hans Wang.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Charest, Ian. "Hierarchical organisation of voice and voice gender perception." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/1681/.

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The most important sound in our auditory environment is the human voice. Voice professionals, whether they are teachers, radio hosts, sport coaches, use their voice on a everyday basis to earn their living and communicate information and knowledge. We grow up spending most of our time everyday listening to voices in school, at the sports club, on t.v., etc. So much that by the time we are adults, voice plays a major role in our everyday social interactions. Yet, while extensive research has been conducted on speech perception voice alone has only just started generating more and more interest in the cognitive neuroscience research community. Voice is not "just" a speech carrier, it conveys rich paralinguistic information such as gender, age, identity or affective state. A theoretical model which emphasises the similarities between face and voice processing was recently introduced, suggesting a serial and parallel processing pathway of voice information leading to high level cognitive processes like person identification. Globally this model of voice processing suggests an extraction of low-level acoustic features, followed by a voice structural encoding leading to parallel pathways for the recognition of speech, affect and identity related information. Furthermore, this model suggested potential interactions with face perception pathways. In this thesis, I investigated two different stages of this voice perception model. First, little is known about the speed at which the distinction between vocal and non-vocal sounds is performed, i.e. is there a time-frame where the "voice structural analysis" would occur. Using electroencephalography, we conducted an experiment in order to delineate this voice vs. non-voice perception time-frame. I observed an early electro-physiological response preferential to voice stimuli, emerging around 164 ms on fronto-temporal electrodes FC5 and FC6 which was termed the "fronto-temporal positivity to voice". Second, little is known about the neural basis behind the perception of paralinguistic information such as identity, gender or affective state contained in the human voice. I used voice gender as a tool to investigated the "voice recognition units" stage of the voice perception model. The cognitive processes behind voice gender perception are still under debate, and more precisely, the nature of the representation of voice gender, whether it is organised around low level acoustical discriminants, or relies on high level categorical representations still remains unclear. Voice gender continua can be created in order to parametrically control the degree of gender contained in voice. I investigated the importance of low level acoustic features using the recently developed auditory morphing algorithms. I averaged 32 male and 32 female voices in order to "approximate" a prototypical voice for each gender. From those prototypes, I generated caricatures by exaggerating the acoustical properties of the male prototype in reference to the female prototype. Those voice composites were included along with 3 pairs of male and female voice exemplars in a voice gender adaptation experiment. I observed significantly stronger perceptual after-effects caused by adaptation from the voice gender caricatures. This result provides evidence for a determinant role of the low level acoustical features in our ability to perceive the gender of a voice. Finally, using functional magnetic resonance imaging (fMRI), I investigated whether brain regions of the auditory cortex are sensitive to voice gender, voice gender adaptation, and whether a dissociation between extraction of acoustical features and higher level, perceptual representations could be achieved. I used voice gender continua and an event-related fMRI design called the continuous carry-over design to assess these working hypotheses. I observed a covariation between BOLD signal and the degree of acoustical differences in consecutive voices in the anterior part of the right superior temporal sulcus, where the extraction of voice gender related acoustical features occurs. Furthermore, I observed a higher level network involving the bilateral inferior frontal gyrus, the insula and the anterior cingulate cortex where a summary of acoustical features would be input from auditory areas enabling a voice gender categorisation.
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SOUZA, GUSTAVO SANT ANNA DE. "VOICE INSURRECTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30175@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
O objetivo deste trabalho é investigar os elementos não-lexicais, todavia produtores de sentido, na performance vocal dentro do campo da canção. Tomam-se como norte epistemológico os estudos do suíço Paul Zumthor, que, ao falar sobre voz poética, afirma que ela transcende a linguagem simbólica e manifesta suas qualidades materiais no tom, timbre, intensidade e demais elementos não linguísticos, porém expressivos e instauradores de presença. A pesquisa se desenvolve em torno de alguns desses elementos, buscando entender melhor como atuam, de que maneira se organizam e por meio de que parâmetros produzem diferenças e semelhanças que afetam diretamente a produção de sentido no âmbito da língua em seu estado musical. Paralelamente, adotou-se como conceito teórico-empírico a proposição do compositor e linguista brasileiro Luiz Tatit, para quem, no universo da palavra cantada, a eficácia da linguagem poética provém das potências da entoação. Assim, buscamos na investigação de aspectos sonoros relacionados à fala e à oralidade os elementos materiais que dão subsídio a nossas elucubrações teóricas e proposições estéticas.
The purpose of this work is to identify and investigate non-lexical elements, however producers of meaning in vocal performance in the song field. We take as a starting point the studies of Paul Zumthor, a Swiss linguist, who, when speaking of poetic voice, states that it transcends the symbolic language and expresses its material qualities in tone, timbre, loudness and other sound elements that in spite of being called non-linguistics are significant and responsible for creating presence. We have developed our research around some of these elements, trying to comprehend how they act, organize and create similarities and differences that affect directly the creation of meaning in the language in its musical state. At the same time, we adopted as a theoretical and empirical concept the proposition of Luiz Tatit, a Brazilian songwriter and also a linguist, who advocates that the efficacy of the poetic language in the universe of song lyrics comes from the characters of the intonation. In this investigation of the sound elements, we intend to find sufficient material to subside our theoretical reflections and aesthetical propositions.
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Shillingburg, Lisa. "Voice Lessons." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/504.

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Asikin-Garmager, Eli Scott. "Sasak voice." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5408.

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This dissertation provides a formal and functional analysis of grammatical voice in Sasak, an Austronesian language spoken in Eastern Indonesia. The research addresses two primary questions, which are (1) how does Sasak clause structure and morphosyntax vary across dialects? and (2) what shapes speakers’ syntactic production, namely grammatical voice choices? Answers to these questions are pursued via elicitation data, a corpus analysis, and results of two language production experiments. The first part of the dissertation examines how Sasak dialects differ syntactically and morphosyntactically. Data from embedded clauses, clitics, and possessive pronominal clitics are used to argue that that Central Sasak maintains two distinct transitive clause types despite the lack of the overt morphological contrast found with transitive verbs in Eastern Sasak. These data also support prior arguments (Davies, 1993; Guilfoyle, Hung, & Travis, 1992; Shibatani, 2008) that Indonesian languages have either two grammatical subject positions, or both a subject and grammatical topic position in the case of Sasak. Many Austronesian languages spoken on Indonesia’s Java Island and surrounding islands share a cognate nasal prefix that is generally found in the presence of preverbal actors (Arka, 2009; Davies, 2005; Sneddon, 1996). This dissertation presents data from three Sasak dialects that show how multiple, morphologically distinct nasal prefixes in Sasak dialects (also noted by Austin, 2012) correlate with two syntactic facts: first, what argument may be extracted out of vP; and secondly, whether or not the lexical verb projects an internal argument. These facts are accounted for in a Minimalist framework (Chomsky, 1993, 2001) by permitting variation to target single features on syntactic heads (as proposed by Aldridge, 2008). The second half of the dissertation investigates what factors shape speakers’ grammatical voice choices. Speakers’ production patterns can clearly be understood as shaped by the structural properties of their specific language(s), and this is also true in Sasak. However, what about when multiple word orders and voice choices are possible? When languages allow for syntactic options, are there universal non-syntactic constraints that exert influence on the production and syntactic coding choices? This dissertation explores potential universal biases identified in literature that has grown out of Bock and Warren’s (1985:50) work on Conceptual Accessibility, or the “ease with which the mental representation of some potential referent can be activated in, or retrieved from, memory”. The specific biases examined for Sasak in the current work are Discourse Topicality (Givón, 1983), animacy (Branigan, Pickering, & Tanaka, 2008), and noun phrase length (MacDonald, 2013; Tanaka, Branigan, McLean, & Pickering, 2011). Results of a corpus analysis are combined with data from two production experiments, and show that both animacy and topicality affect voice selection in Sasak. Specifically, [+animate] and [+topical] noun phrases are produced earlier in a sentence, thereby affecting the grammatical voice produced. Also, Sasak speakers exhibit a ‘long before short’ bias (i.e., placing longer noun phrases before relatively shorter ones in utterances), affecting voice selection as well. Contextualized in cross-linguistic data, this supports the argument made in this dissertation that the cognitive effect of the semantic richness and salience of longer nouns is relative to the speaker’s stage in planning and producing an utterance.
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Orphanidou, Christina. "Voice Morphing." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491672.

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Voice Morphing is the process of modifying a source speaker's speech so that it is perceived as if uttered by a target speaker. The numerous applications of this technology have made it a very popular research topic with most approaches focusing on transforming the spectral envelope of the source speaker to match that of the target speaker. This is usually achieved by estimating a transformation function from parallel training data from the two speakers. However, the current applications suffer from loss of spectral detail during synthesis of the morphed speech, often attributed to the low dimensional representations of the acoustic models used for extracting the acoustic features. We propose a new Multiresolution Voice Morphing Algorithm (MVMA) which uses the Discrete Wavelet Transform (DWT) for modeling the shortterm and long-term acoustic properties of speech and estimates a transformation function at each sub-band by means of a Radial Basis Function (RBF) neural network. The proposed system is evaluated objectively and subjectively using parallel and non-parallel training data. The tests show that the proposed approach effectively transforms speaker identity even though perceivable artifacts still exist in the transformed speech.
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Derfler, Brandon Joel. "Single-voice transformations : a model for parsimonious voice leading /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/11418.

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Chang, Wing-yin Maureen. "Perceptual and acoustic differences between aging voice and dysphonic voice." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B36207810.

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Thesis (B.Sc)--University of Hong Kong, 2001.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 4, 2001. Also available in print.
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Books on the topic "Sonagrams of the voice"

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McClintock, James B. One voice two voice. Bloomington, IN: AuthorHouse, 2008.

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Foundation for Co-Existence (Colombo, Sri Lanka), ed. Voice. Colombo: Foundation for Co-Existence, 2008.

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Appelbaum, David. Voice. Albany: State University of New York Press, 1990.

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St, George Marie Elyse. Voice. Regina, SK, Canada: Coteau Books, 1995.

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Appelbaum, David. Voice. Albany: State University of New York Press, 1990.

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Ltd, Digital Vision. Voice. [Peoria, IL]: Digital Vision, Ltd., 2000.

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Boone, Daniel R. The voice and voice therapy. 7th ed. Boston: Allyn & Bacon, 2005.

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C, McFarlane Stephen, ed. The voice and voice therapy. 5th ed. Englewood Cliffs, N.J: Prentice Hall, 1994.

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Boone, Daniel R. The voice and voice therapy. 4th ed. Englewood Cliffs, N.J: Prentice Hall, 1988.

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Boone, Daniel R. The voice and voice therapy. 7th ed. Boston: Pearson/Allyn & Bacon, 2005.

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Book chapters on the topic "Sonagrams of the voice"

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Croft, William A. "Voice." In Typological Studies in Language, 89. Amsterdam: John Benjamins Publishing Company, 1994. http://dx.doi.org/10.1075/tsl.27.06cro.

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Davidson, Chad, and Gregory Fraser. "Voice." In Writing Poetry, 146–55. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-12070-0_10.

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Davidson, Chad, and Gregory Fraser. "Voice." In Writing Poetry, 44–58. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-12070-0_4.

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Wilcox, Alison. "Voice." In Descriptosaurus, 128–30. Third edition. | Milton Park, Abingdon, Oxon : Routledge, [2017]: Routledge, 2017. http://dx.doi.org/10.4324/9781315107110-27.

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Kucuk, S. Umit. "Voice." In Consumer Voice, 1–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53983-2_1.

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Holland, Andrea. "Voice." In The Portable Poetry Workshop, 154–58. London: Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-60596-2_23.

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Kumlin, Staffan. "Voice." In The Personal and the Political, 164–83. New York: Palgrave Macmillan US, 2004. http://dx.doi.org/10.1057/9781403980274_9.

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Graham, Robert, and Jenny Newman. "Voice." In How to Write A Short Story (And Think About It), 179–89. London: Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-51708-1_17.

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Gullion, Jessica Smartt. "Voice." In Writing Ethnography, 59–60. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-381-0_12.

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Vekasi, Kristin. "Voice." In Risk Management Strategies of Japanese Companies in China, 107–39. 1 Edition. | New York : Routledge, 2020. | Series: Politics in Asia: Routledge, 2019. http://dx.doi.org/10.4324/9780429262241-5.

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Conference papers on the topic "Sonagrams of the voice"

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Truillet, Philippe, and Gwenael Bothorel. "VOICE." In the 17th conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1148550.1148559.

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Andrews, Kerry John. "Voice." In ACM SIGGRAPH 2004 Art gallery. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1185884.1185887.

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Uzan, Lior, and Lior Wolf. "I know that voice: Identifying the voice actor behind the voice." In 2015 International Conference on Biometrics (ICB). IEEE, 2015. http://dx.doi.org/10.1109/icb.2015.7139074.

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Shibasaki, Koichi, and Shunji Mituyoshi. "Feeling Voice Management System and Feeling Voice Database for Voice Feeling Measurement." In 2007 International Conference on Natural Language Processing and Knowledge Engineering. IEEE, 2007. http://dx.doi.org/10.1109/nlpke.2007.4368065.

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Ye-Yi Wang. "Voice search - Information access via voice queries." In 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU). IEEE, 2007. http://dx.doi.org/10.1109/asru.2007.4430095.

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Petersen, Greg, and Tony Makarome. "The Lowly Voice: The Singapore Bassist Voice." In Selected Proceedings of the 2009 Performer's Voice International Symposium. IMPERIAL COLLEGE PRESS, 2011. http://dx.doi.org/10.1142/9781848168824_0010.

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Lee, Yi-Heng, and Chao-Ming Wang. "Cell voice." In ACM SIGGRAPH ASIA 2010 Posters. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1900354.1900368.

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Kumar, Anuj, Tim Paek, and Bongshin Lee. "Voice typing." In the 2012 ACM annual conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2207676.2208386.

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Perera, Dharani, R. T. Jim Eales, and Kathy Blashki. "Voice art." In the 20th Australasian Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1517744.1517813.

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Chadha, Hashmeet, Satyam Mhatre, Unnati Ganatra, and Sujata Pathak. "HTML Voice." In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE, 2018. http://dx.doi.org/10.1109/iccubea.2018.8697733.

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Reports on the topic "Sonagrams of the voice"

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Broccardo, Eleonora, Oliver Hart, and Luigi Zingales. Exit vs. Voice. Cambridge, MA: National Bureau of Economic Research, August 2020. http://dx.doi.org/10.3386/w27710.

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Harju, Jarkko, Simon Jäger, and Benjamin Schoefer. Voice at Work. Cambridge, MA: National Bureau of Economic Research, March 2021. http://dx.doi.org/10.3386/w28522.

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Parsons, G., and J. Maruszak. Voice Messaging Client Behaviour. RFC Editor, July 2005. http://dx.doi.org/10.17487/rfc4024.

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Vaudreuil, G. Voice Message Routing Service. RFC Editor, October 2005. http://dx.doi.org/10.17487/rfc4238.

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McRae, S., and G. Parsons. Internet Voice Messaging (IVM). RFC Editor, November 2005. http://dx.doi.org/10.17487/rfc4239.

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Vaudreuil, G. Voice Messaging Directory Service. RFC Editor, October 2005. http://dx.doi.org/10.17487/rfc4237.

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Eldridge, J. M. Voice and Data Network of Convergence and the Application of Voice over IP. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/769028.

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PRAISSMAN, J. L. SUTHERLAND,J C. LABORATORY VOICE DATA ENTRY SYSTEM. Office of Scientific and Technical Information (OSTI), April 2003. http://dx.doi.org/10.2172/15006728.

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Brandner, R., L. Conroy, and R. Stastny. IANA Registration for Enumservice Voice. RFC Editor, February 2006. http://dx.doi.org/10.17487/rfc4415.

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Vaudreuil, G. Voice Profile for Internet Mail. RFC Editor, February 1996. http://dx.doi.org/10.17487/rfc1911.

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