HIGHLIGHTS
- who: Maureen de Seyssel and collaborators from the Cognitive Machine Learning (ENS-CNRS-EHESS-INRIA-PSL Research University), France have published the Article: Investigating the usefulness of i-vectors for automatic language characterization, in the Journal: (JOURNAL)
- what: This study aims to reduce this gap by investigating a promising speech representation i-vectors which by capturing suprasegmental features of language can be used for the automatic characterization of languages. The authors propose to investigate here whether acoustic distance between language, based on i-vectors, can be used to predict various typological distances between languages (Section . . .
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