3 accepted papers
Current speech translation systems, while having achieved impressive accuracies, are rather static in their behavior and do not adapt to real-world situations in ways human interpreters do. In order to improve their practical usefulness and enable interpreting-like experiences, a precise understandi
Code switching (CS) refers to the phenomenon of interchangeably using words and phrases from different languages. CS can pose significant accuracy challenges to NLP, due to the often monolingual nature of the underlying systems. In this work, we focus on CS in the context of English/Spanish conversa…
In this paper, we propose improving automatic speech recognition (ASR) accuracy for local points of interest (POI) by leveraging a geo-specific language model (Geo-LM). Geographic regions are defined according to U.S. Census Bureau Combined Statistical Areas. Depending on the user's associated geogr…