The Educational Interpreter Performance Assessment (EIPA) is as an important research tool for examining the quality of interpreters who use American Sign Language or a sign system in classroom settings, but it is not currently applicable to educational interpreters who use Cued Speech (CS). In order to determine the feasibility of extending the EIPA to include CS, a pilot EIPA test was develop...

Text cues facilitate the perception of spoken sentences to which they are semantically related (Zekveld, Rudner, et al., 2011). In this study, semantically related and unrelated cues preceding sentences evoked more activation in middle temporal gyrus (MTG) and inferior frontal gyrus (IFG) than nonword cues, regardless of acoustic quality (speech in noise or speech in quiet). Larger verbal worki...

Cued Speech (CS) is a manual code that complements lipreading to enhance speech perception from visual input. The phonetic translation of CS gestures needs to combine the manual CS information with information from the lips, taking into account the desynchronization delay (Attina et al. [1], Aboutabit et al. [2]) between these two flows of information. This paper focuses on HMM recognition of t...

The reading impairment of the majority of prelingually, profoundly deaf subjects (Conrad, 1979) results mainly from a deficiency of their primary linguistic competence. It is widely recognized that orally educated deaf children attain only limited ability in the reception and production of both oral and written language (see Quigley and Paul, 1984 for a review). The lack of adequate communicati...

For hearing and deaf people, speech perception involves an integrative process between auditory and lip read information. In order to disambiguate information from lips, manual cue may be added (Cued Speech). We examined how audio-visual integration is affected by the presence of manual cues. To address this issue, we designed an original experiment using audio-visual McGurk stimuli produced wi...

Auditory scenes often contain concurrent sound sources, but listeners are typically interested in just one of these and must somehow select it for further processing. One challenge is that real-world sounds such as speech vary over time and as a consequence often cannot be separated or selected based on particular values of their features (e.g., high pitch). Here we show that human listeners ca...