Daniel Duran

SS 2013

• Computational Linguistics Team Laboratory: Phonetics (mit Prof. Dogil)

• Daniel Duran, Jagoda Bruni und Grzegorz Dogil: Acoustic and articulatory information as joint factors coexisting in the context sequence model of speech production.
  Proceedings of Meetings on Acoustics (POMA), 2013 Vol. 19, pp. 060091. ICA 2013 Montreal. [DOI: 10.1121/1.4799009]
• Tomasz Kuczmarski, Daniel Duran, Norbert Kordek und Jagoda Bruni: Second-degree polynomial approximation of Mandarin Chinese lexical tone pitch contours -- a preliminary evaluation.
  In: Petra Wagner (Hrsg.): Elektronische Sprachsignalverarbeitung 2013 -- Tagungsband der 24. Konferenz; Bielefeld, 26. - 28. März 2013. TUDpress, pp. 218-222. ISBN: 978-3-944331-03-4
• Daniel Duran, Jagoda Bruni und Grzegorz Dogil: Modeling multi-modal factors in speech production with the Context Sequence Model.
  In: Petra Wagner (Hrsg.): Elektronische Sprachsignalverarbeitung 2013 -- Tagungsband der 24. Konferenz; Bielefeld, 26. - 28. März 2013. TUDpress, pp. 86–92. ISBN: 978-3-944331-03-4
• Daniel Duran, Jagoda Bruni, Hinrich Schütze und Grzegorz Dogil: Specification in context – incorporation of an aritculatory factor into the Context Sequence Model.
  Vortrag bei: 43rd Poznań Linguistic Meeting (PLM), September 2012, Poznań, Polen.
  Abstract [PDF]
• Daniel Duran, Jagoda Bruni, Michael Walsh, Hinrich Schütze und Grzegorz Dogil: Phonological constraints verified by a rich memory exemplar model: extrametricality and articulatory binding in Polish obstruent-sonorant rhymes.
  Book of Abstracts of the 13th Conference on Laboratory Phonology, 2012, pp. 217-218. Stuttgart.
• Daniel Duran, Jagoda Bruni, Hinrich Schütze und Grzegorz Dogil: Using unlabeled EMA data in a speech production model with a rich memory.
  Vortrag bei der 7. Tagung zu Phonetik und Phonologie im deutschsprachigen Raum (P&P 7), Oktober 2011, Osnabrück.
  Abstract [PDF]
• Daniel Duran, Jagoda Bruni, Grzegorz Dogil und Hinrich Schütze: Speech Events are Recoverable from Unlabeled Articulatory Data: Using an Unsupervised Clustering Approach on Data Obtained from Electromagnetic Midsaggital Articulography (EMA).
  Interspeech Conference Proceedings, 2011, pp. 2201-2204. Florenz, Italien.
• Daniel Duran, Jagoda Bruni, Hinrich Schütze und Grzegorz Dogil: Context Sequence Model of Speech Production Enriched with Articulatory Features.
  Proceedings of the 17th International Congress of Phonetic Sciences (ICPhS), 2011, pp. 615-618. Hong Kong.
• Daniel Duran, Hinrich Schütze, Bernd Möbius und Michael Walsh: A Computational Model of Unsupervised Speech Segmentation for Correspondence Learning.
  Research on Language & Computation, 2010, Vol. 8, No. 2-3, pp. 133-168.
  [www.springerlink.com/content/653h413q00348rr5/]
• Daniel Duran, Hinrich Schütze und Bernd Möbius: Towards a computational model of unsupervised speech segmentation for correspondence learning.
  Posterpräsentation bei: Positional Phenomena in Phonology and Phonetics workshop, Glow 33, 2010. Wrocław, Polen.
  Workshop abstract booklet [PDF]