Speech Prosody 2010

Chicago, IL, USA
May 10-14, 2010

Testing Suprasegmental English Through Parroting

Joseph Tepperman, Theban Stanley, Kadri Hacioglu, Bryan Pellom

Rosetta Stone Labs, Boulder, Colorado, USA

Parroting exercises in a foreign language are designed to make a student's speech more native-like through imitation of specific native speech templates. In this paper we describe novel template-based methods for automatically estimating subjective scores for both intonation and rhythm in nonnative English. In terms of accuracy when automatically classifying a parroting speaker as a native or a learner, experimental results show that these new rhythm and intonation scores outperform similar baselines from nonnative speech assessment literature, and that they offer complementary discriminatory information when combined with automatic segment-level pronunciation scores, reaching a maximum classification accuracy of 89.8% on a corpus of parroting exercises. This suggests the general usefulness of these new scores in automatically assessing nonnative pronunciation in a computer-assisted pronunciation practice scenario.

Index Terms— nonnative speech, pronunciation evaluation, suprasegmental features, second-language acquisition

Full Paper

Bibliographic reference.  Tepperman, Joseph / Stanley, Theban / Hacioglu, Kadri / Pellom, Bryan (2010): "Testing suprasegmental English through parroting", In SP-2010, paper 898.