DDL - UMR 5596
ISH - Bat C
14 avenue Berthelot
69007 Lyon
Tél : 04 72 72 64 12
Fax : 04 72 72 65 90
Contact

All Members

 You are here : Home /  Research center /  Members  / CV
France  Anglais  Last update : 01/06/2022     

Natalja ULRICH

PhD

 

Teams :   DiLiS 


  Training and professional background
  Main publications and conferences


TRAINING AND PROFESSIONAL BACKGROUND


 

09.2019 – present PhD at the University Lumiere 2 in Lyon, Dynamique Du Langage

 

02.2015 – 09.2017 Master at the University of Zürich Ethnology, General Linguistic, Graduation: Master of Arts UZH in Social Science Title Master thesis: Social and linguistic diversity: A ethnologic fieldwork research among ethnical Kirgiz in Karakol- Kirgizstan (GER).

 

02.2009 – 09.2013 Bachelor at the University of Zürich Slavonic studies, Ethnology, History of Arts Graduation: Bachelor of Arts UZH

 

09.2019 – present PhD at the University Lumiere 2 in Lyon, Dynamique Du Langage Supervisor: Dr. Dan Dediu 02.2015 – 09.2017 Master at the University of Zürich Ethnology, General Linguistic, Graduation: Master of Arts UZH in Social Science Title Master thesis: Social and linguistic diversity: A ethnologic fieldwork research among ethnical Kirgiz in Karakol- Kirgizstan (GER). Supervisor Prof. Dr. Peter Finke 02.2009 – 09.2013 Bachelor at the University of Zürich Slavonic studies, Ethnology, History of Arts Graduation: Bachelor of Arts UZH

 

MAIN PUBLICATIONS AND CONFERENCES
LONG VERSION / SHOW SHORT VERSION


PhDs and master thesis
 

Ulrich, N., 2022, "Linguistic and speaker variation in Russian fricatives", Thèse de doctorat, Sciences du langage, Université Lumière Lyon 2, Lyon, 94 p.


Journals
 

Ulrich, N., Pellegrino, F. & Tang, M., 2023, "Intra- and inter-speaker variation in eight Russian fricatives", The Journal of the Acoustical Society of America, 153:4, pp. 2285-2297 (doi.org/10.1121/10.0017827)


 

Ulrich, N., Tang, M., Pellegrino, F. & Dediu, D., 2021, "Identifying the Russian voiceless non-palatalized fricatives /f/, /s/, and /ʃ/ from acoustic cues using machine learning", The Journal of the Acoustical Society of America, 150:3, pp. 1806-1820 (doi.org/10.1121/10.0005950)




ASLAN -  Université de Lyon -  CNRS -  Université Lumière Lyon 2 -  MSH-LSE -  IXXI -  DDL :  Contact |  Terms of use |