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Combining Multiple Approaches to Predict the Degree of Nativeness

Ribeiro, Eugénio; Ferreira, Jaime; Olcoz, Julia; Abad, Alberto; Moniz, Helena; Batista, Fernando; Trancoso, Isabel

Automatic speaker nativeness assessment has multiple applications, such as second language learning and IVR systems. In this paper we view this as a regression problem, since the available labels are on a continuous scale. Multiple approaches were applied, such as phonotactic models, i-vectors, and goodness of pronunciation, covering both segmental and suprasegmental features. Different phonotactic models were ...


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