Speech Intelligibility for Spectrally Degraded Sentences
Broussard, Sierra; Saberi, Kourosh (2017), Speech Intelligibility for Spectrally Degraded Sentences, Dryad, Dataset, https://doi.org/10.7280/D1HS31
This data was collected to determine how amplitude and phase information differentially contribute to speech intelligibility. Listeners performed a word-identification task after hearing spectrally degraded sentences. Each stimulus was degraded by first dividing it into segments, then the amplitude and phase components of each segment were decorrelated independently to various degrees relative to those of the original segment. Segments were then concatenated into their original sequence to present to the listener. We used three segment lengths: 30 ms (phoneme length), 250 ms (syllable length), and full sentence (non-segmented).