We present the design and results of the Spring 2007 (RT-07) Rich Transcription Meeting Recognition Evaluation; the fifth in a series of community wide evaluations of language technologies in the meeting domain. For 2007, we supported three evaluation tasks: Speech-To-Text (STT) transcription, " Who Spoke When " Diarization (SPKR), and Speaker Attributed… (More)
We present the design and results of the Spring 2006 (RT-06S) Rich Transcription Meeting Recognition Evaluation; the fourth in a series of community-wide evaluations of language technologies in the meeting domain. For 2006, we supported three evaluation tasks in two meeting sub-domains: the Speech-To-Text (STT) transcription task, and the " Who Spoke When "… (More)
This paper presents the design and results of the Rich Transcription Spring 2005 (RT-05S) Meeting Recognition Evaluation. This evaluation is the third in a series of community-wide evaluations of language technologies in the meeting domain. For 2005, four evaluation tasks were supported. These included a speech-to-text (STT) transcription task and three… (More)
We present findings from a collaborative effort aimed at testing the feasibility of using Amazon's Mechanical Turk as a data collection platform to build a corpus of document images. Experimental design and implementation workflow are described. Preliminary findings and directions for future work are also discussed.
We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction (MOP) to assist unmanned ground vehicles in performing path planning within dynamic environments. In addition to predicting the location of moving objects in the environment, we have extended PRIDE to generate simulated traffic during on-road… (More)
In this paper, we present the PRIDE framework (Prediction In Dynamic Environments), which is a hierarchical multi-resolutional approach for moving object prediction that incorporates multiple prediction algorithms into a single, unifying framework. PRIDE is based upon the 4D/RCS (Real-time Control System) and provides information to planners at the level of… (More)