ARC Research Network for Enabling Human Communication. The Human Communication Network promotes interdisciplinary research in speech, language, and sound by and between humans and machines. The network connects leading and emerging researchers across disciplines, exploits previously unrecognised intersections, supports interdisciplinary graduate training and exchanges, provides database storage infrastructure, and consults with industry and government to set, not follow, research agendas. By ge ....ARC Research Network for Enabling Human Communication. The Human Communication Network promotes interdisciplinary research in speech, language, and sound by and between humans and machines. The network connects leading and emerging researchers across disciplines, exploits previously unrecognised intersections, supports interdisciplinary graduate training and exchanges, provides database storage infrastructure, and consults with industry and government to set, not follow, research agendas. By generating an explosion of new approaches and knowledge, the network will build Australia's reputation as a leader in communication science and technology via advances in automatic speech recognition, distress call monitoring, hearing prostheses, web interfaces, and data retrieval and data mining systems.Read moreRead less
Determinants of Audio-Visual effects in degraded and non-degraded speech. Seeing a speaker's face can affect the perception of their speech in a number of ways. This project proposes a detailed comparison of factors that affect Audio-Visual (AV) facilitation of degraded speech detection and identification. Detection-based tasks should be more sensitive to signal based correlations whereas identification-based effects more sensitive to complementary information. The significance of the current pr ....Determinants of Audio-Visual effects in degraded and non-degraded speech. Seeing a speaker's face can affect the perception of their speech in a number of ways. This project proposes a detailed comparison of factors that affect Audio-Visual (AV) facilitation of degraded speech detection and identification. Detection-based tasks should be more sensitive to signal based correlations whereas identification-based effects more sensitive to complementary information. The significance of the current proposal is that it offers both a strategy and a connected series of experiments for determining key behavioural constraints on AV speech integration. Understanding AV interactions will build links between neurophysiological processes and coherent perception and have important implications for AV application.Read moreRead less