The development of automatic speech recognition systems poses several known difficulties. One of them concerns the recognizer's accuracy when dealing with non-native speakers of a given language. Normally a recognizer precision is lower for non-native users, hence our goal is to improve this low accuracy rate when the speech recognition system is confronted with a foreign accent. A typical usage scenario is to apply these models in applications where European Portuguese is dominant, but where English may also frequently occur. Therefore, several experiments were performed using cross-word triphone based models, which were then trained with speech corpora containing European Portuguese native speakers, English native speakers and English spoken by European Portuguese native speakers. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Simões, C., Teixeira, C., Dias, M., Braga, D., & Calado, A. (2007). European portuguese accent in acoustic models for non-native English speakers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4756 LNCS, pp. 734–742). https://doi.org/10.1007/978-3-540-76725-1_76
Mendeley helps you to discover research relevant for your work.