Usage of a speech constraint for highlighting compensatory strategies developed in production of a second language

Author:

Falek Leila,Mekaoui Slimane,Teffahi Hocine,Djeradi Amar

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference19 articles.

1. Aubin, J. (2006). Effets accoustiques et articulatoires de perturbations labiales sur la parole des enfants et des adultes. Mémoire. Université du Québec à Montréal, Maîtrise en linguistique, Montréal (Québec, Canada).

2. Beller, G. & Rodet, X. (2007). Content-based transformation of the expressivity in speech. In Proceedings of the 16th ICPhS (p. 2157–2160). Saarbruecken.

3. Beller, G., Schwarz, D., Hueber, T., & Rodet, X. (2006). Speech rates in French expressive speech. In Speech Prosody 2006, SproSig, ISCA (pp. 672–675). Dresden.

4. Brunner, J. (2009). (Perturbed speech) How compensation mechanisms can inform us about phonemic targets. Grenoble Images Parole Signal Automatique (GIPSA-lab). CNRS : UMR5216, Université Joseph Fourier, Grenoble I-Université Pierre Mendès-France, Grenoble II, Université Stendhal, Grenoble III, Institut Polytechnique de Grenoble, Grenoble Institute of Technology. Gipsa-lab.

5. Brunner, J., & Hoole, P. (2012). Motor equivalent strategies in the production of German /S/ under perturbation. Language and Speech, 55(4), 457–476.

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