Chapter published in:
In Search of Basic Units of Spoken Language: A corpus-driven approach
Edited by Shlomo Izre'el, Heliana Mello, Alessandro Panunzi and Tommaso Raso
[Studies in Corpus Linguistics 94] 2020
► pp. 285299
References

References

Avanzi, M., Lacheret, A., & Victorri, B.
(2008) Analor, un outil d’aide pour la modélisation de l’interface prosodie-grammaire. Travaux Linguistiques du CerLiCO, 21, 27–46.Google Scholar
Barbosa, P. A.
(1994) Caractérisation et génération automatique de la structuration rythmique du français (Unpublished doctoral dissertation). Institut National Polytechnique de Grenoble, France).Google Scholar
(1996) At least two macrorhythmic units are necessary for modeling Brazilian Portuguese duration: Emphasis on segmental duration generation. Cadernos de Estudos Linguísticos, 31, 33–53.Google Scholar
(2006) Incursões em torno do ritmo da fala. Campinas: Pontes.Google Scholar
(2007) From syntax to acoustic duration: A dynamical model of speech rhythm production. Speech Communication, 49, 725–742. CrossrefGoogle Scholar
(2010) Automatic duration-related salience detection in Brazilian Portuguese read and spontaneous speech. Proceedings of the Speech Prosody 2010 Conference, 10–14 May, Chicago, IL.Google Scholar
Boersma, P. & Weenink, D.
(2017) Praat: Doing phonetics by computer (Version 6.0.29) [Computer software]. Retrieved from www​.praat​.org
Botinis, A., Granström, B., & Möbius, B.
(2001) Developments and paradigms in intonation research. Speech Communication, 33, 263–296. CrossrefGoogle Scholar
Campbell, N.
(1993) Automatic detection of prosodic boundaries in speech. Speech Communication, 13(3–4), 343–354. CrossrefGoogle Scholar
Chistovich, L. A., & Ogorodnikova, E. A.
(1982) Temporal processing of spectral data in vowel perception. Speech Communication, 1, 45–54. CrossrefGoogle Scholar
Cresti, E.
(2000) Corpus di italiano parlato (Vol. 1). Florence: Accademia della Crusca.Google Scholar
Cummins, F., & Port, R.
(1998) Rhythmic constraints on stress timing in English. J. Phon, 26, 145–171. CrossrefGoogle Scholar
Eriksson, A., & Heldner, M.
(2015) The acoustics of word stress in English as a function of stress level and speaking style. Proc. of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), Dresden, Germany, 41–45.Google Scholar
Godfrey, J. J., Holliman, E. C., & McDaniel, J.
(1992) SWITCHBOARD: Telephone speech corpus for research and development. Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1, 517–520.Google Scholar
Gotoy, Y., & Renals, S.
(2000) Sentence boundary detection in broadcast speech transcripts. Proc. of the International Speech Communication Association (ISCA) Workshop: Automatic Speech Recognition: Challenges for the New Millennium (ASR-2000), Paris.Google Scholar
Kim, J.
(2004) Automatic detection of sentence boundaries, disfluencies, and conversational fillers in spontaneous speech (Unpublished doctoral dissertation). University of Washington. Retrieved from https://​ssli​.ee​.washington​.edu​/papers​/grad​/theses​/jkim​-ms​-thesis​.pdf
Lacheret-Dujour, A., Simon, A., Goldman, J., & Avanzi, M.
(2013) Prominence perception and accent detection in French: From phonetic processing to grammatical analysis. Language Sciences, 39, 95–106. CrossrefGoogle Scholar
Mettouchi, A., Lacheret-Dujour, A., Silber-Varod, V., & Izre’el, S.
(2007) Only prosody? Perception of speech segmentation in Kabyle and Hebrew. Nouveaux Cahiers de Linguistique Française, 28, 207–218.Google Scholar
Mittman, M. M., & Barbosa, P. A.
(2016) An automatic speech segmentation tool based on multiple acoustic parameters. CHIMERA. Romance Corpora and Linguistic Studies, 3(2), 133–147.Google Scholar
Ni, C. J., Zhang, A. Y., Liu, W. J., & Xu, B.
(2012) Automatic prosodic break detection and feature analysis. J. Comput. Sci. Technol., 27, 1184–1196. CrossrefGoogle Scholar
Raso, T., Barbosa, P. A., Cavalcante, F. A., & Mittmann, M. M.
(this volume). Segmentation and analysis of the two English excerpts: The Brazilian team proposal. In S. Izre’el, H. Mello, A. Panunzi, & T. Raso Eds. In search of basic units of spoken language: A corpus-driven approach. Amsterdam: John Benjamins.
Shriberg, E., Stolcke, A., Hakkani-Tür, D., & Tür, G.
(2000) Prosody-based automatic segmentation of speech into sentences and topics. Speech Communication, 32(1), 127–154. CrossrefGoogle Scholar
Tamburini, F., & Wagner, P.
(2007) On automatic prominence detection for German. Proc. of the 8th Annual Conference of the International Speech Communication Association (INTERSPEECH 2007), (pp. 1809–1812). Antwerp, Belgium.Google Scholar
Teixeira, B., Barbosa, P., & Raso, T.
(2018) Automatic detection of prosodic boundaries in Brazilian Portuguese spontaneous speech. In A. Villavicencio, M. Viviane, A. Abad, H. Caseli, P. Gamallo, C. Ramisch, H. R. Gonçalo Oliveira & G. H. Paetzold (Eds.), Computational processing of the Portuguese language. PROPOR 2018 (pp. 429–437). Canela, Brazil. Cham: Springer. CrossrefGoogle Scholar
Wightman, C. W., Shattuck-Hufnagel, S., Ostendorf, M., & Price, P.
(1992) Segmental durations in the vicinity of prosodic phrase boundaries. J. Acoust. Soc. Am., 91, 1707–1717. CrossrefGoogle Scholar

audio

Cited by

Cited by other publications

Izre'el, Shlomo, Heliana Mello, Alessandro Panunzi & Tommaso Raso
2020.  In In Search of Basic Units of Spoken Language [Studies in Corpus Linguistics, 94],  pp. 1 ff. Crossref logo

This list is based on CrossRef data as of 05 november 2020. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.