We present the IBM systems for the Rich Transcription 2007 (RT07) speaker diarization evaluation task on lecture meeting data. We first overview our baseline system that was devel...
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 tech...
In this paper we describe the AMIDA speaker dizarization system as it was submitted to the NIST Rich Transcription evaluation 2007 for conference room data. This is done in the con...
This paper describes recent efforts at Linguistic Data Consortium at the University of Pennsylvania to create manual transcripts as a shared resource for human language technology...
Remote participants in hybrid meetings often have problems to follow what is going on in the (physical) meeting room they are connected with. This paper describes a videoconferenci...
Rieks op den Akker, Dennis Hofs, Hendri Hondorp, H...