This paper describes the development of a multi-modal corpus based on multi-party multi-task driven common goal oriented spoken language interaction. The data consists of approximately 10 hours of audio human simulation radio data and nearly 5 hours of video and audio face-to-face sessions between human trainees and virtual agents.

Speaker diarization is the task of partitioning an input stream into speaker homogeneous regions, or in other words, to determine ”who spoke when.” While approaches to this problem have traditionally relied entirely on the audio stream, the availability of accompanying video streams in recent diarization corpora has prompted the study of methods based on multimodal audio-visual features. In thi...

Writing is an important language skill, and learning to write not easy endeavour, especially for English as a foreign (EFL) students. An effective EFL writing instruction, therefore, plays significant role in helping students deal with problems efficiently approach tasks effectively. Based on this premise, the present study aims at investigating effect of two alternative approaches, process pro...

May, L. A. (2011). Situating strategies: An examination of comprehension strategy instruction in one upper elementary classroom oriented towards culturally relevant teaching.

This paper presents observations pertaining to elements of expressive visual design for computer music, focusing in particular on real-time integration of graphics and audio. Specific projects are presented as examples and case studies supporting a set of design principles. They range from “user-oriented” to “aesthetic” and additional observations. Examples are categorized into audio visualizat...

Abstract We aimed to investigate whether video-instructed dispatcher-assisted (DA)-cardiopulmonary resuscitation (CPR) improved neurologic recovery and survival discharge compared audio-instructed DA-CPR in adult out-of-hospital cardiac arrest (OHCA) patients a metropolitan city with sufficient experience facilities. A retrospective cohort study was conducted for bystander-witnessed OHCA admini...

Musical pattern recognition is a challenging area of research as music is a combination of audio and speech; a signal of a particular music cannot be expressed through a linear expression only. For this reason musical pattern identification by mathematical expressions is critical. In this paper a new method is being proposed for cataloguing different melodious audio stream into some specific fe...