Although psycholinguistics has been studying speech perception and comprehension and untangling its different components for years, these studies have typically used optimal quiet listening conditions. Furthermore, research in speech perception in adverse conditions has mainly focused on the perception of speech. However, our task in everyday conversations is to understand the sentences that we perceive.
My current study aims to contribute to the growing field of speech in noise research by using a sentence comprehension paradigm. This project aims to tease apart the factors involved in informational masking (a competing talker), in particular when the load on working memory is increased, and its effect on the comprehension of different syntactic structures (object vs subject relatives).