Designing a Bilingual Speech Corpus for French and German Language Learners: a Two-Step Process

• Main Authors: Fauth, Camille, Bonneau, Anne, Zimmerer, Frank, Trouvain, Jürgen, Andreeva, Bistra, Colotte, Vincent, Fohr, Dominique, Jouvet, Denis, Jügler, Jeanin, Laprie, Yves, Mella, Odile, Möbius, Bernd
• Other Authors: Analysis, perception and recognition of speech (PAROLE), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Allgemeine Linguistik Computational Linguistics and phonetics (Allgemeine Linguistik), Saarland University Saarbrücken, The European Language Resources Association, ANR-12-FRAL-0007,IFCASL,apprentissage des langues assisté par ordinateur(2012)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: speech corpus; phonetics; language learning; [SCCO.LING]Cognitive science/Linguistics; Iceland
• Online Access: https://inria.hal.science/hal-00979026; https://inria.hal.science/hal-00979026v1/document; https://inria.hal.science/hal-00979026v1/file/LREC_IFCASL_long.pdf

International audience We present the design of a corpus of native and non-native speech for the language pair French-German, with a special emphasis on phonetic and prosodic aspects. To our knowledge there is no suitable corpus, in terms of size and coverage, currently available for the target language pair. To select the target L1-L2 interference phenomena we prepare a small preliminary corpus (corpus1), which is analyzed for coverage and cross-checked jointly by French and German experts. Based on this analysis, target phenomena on the phonetic and phonological level are selected on the basis of the expected degree of deviation from the native performance and the frequency of occurrence. 14 speakers performed both L2 (either French or German) and L1 material (either German or French). This allowed us to test, recordings duration, recordings material, the performance of our automatic aligner software. Then, we built corpus2 taking into account what we learned about corpus1. The aims are the same but we adapted speech material to avoid too long recording sessions. 100 speakers will be recorded. The corpus (corpus1 and corpus2) will be prepared as a searchable database, available for the scientific community after completion of the project.