The “diphones data” refers to speech perception data from two unusually large perception experiments, which provided data on how listeners interpret phonetic cues as they hear the sound signal over time, in all sounds of Dutch and English, before and after all possible sounds of the language. Together, the two studies include approximately 1,000,000 phonetic identification responses from human listeners. This data can be used to answer speech perception questions and for modeling of spoken word recognition. We have made all of the data publicly available. To download the data, read the README, and find the references to published papers using this data, see the entries at the University of Arizona Library Repository:
Moon, Ki Woong; Warner, Natasha; McQueen, James (2024). Perception of all Dutch sounds in all preceding and following phonological environments (‘Dutch diphones data’). University of Arizona Research Data Repository. Dataset. https://doi.org/10.25422/azu.data.21498258.v1
Moon, Ki Woong; Warner, Natasha; McQueen, James (2024). Perception of all English sounds in all preceding and following phonological environments (‘English diphones data’). University of Arizona Research Data Repository. Dataset. https://doi.org/10.25422/azu.data.21498210.v1