Mike Lincoln

TL;DR: The AMI Meeting Corpus as mentioned in this paper is a multi-modal data set consisting of 100 hours of meeting recordings, which is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly.

TL;DR: The corpus is being distributed using a web server designed to allow convenient browsing and download of multimedia content and associated annotations, as well as data collection, annotation and distribution.

TL;DR: TESSA as mentioned in this paper is an experimental system that aims to aid transactions between a deaf person and a clerk in a Post Office by translating the clerk's speech to sign language using a speech recogniser and synthesizing the appropriate sequence of signs in British Sign Language (BSL) using a specially-developed avatar.

TL;DR: The collection of an audio-visual corpus of read speech from a number of instrumented meeting rooms suitable for use in continuous speech recognition experiments and is captured using a variety of microphones, including arrays, as well as close-up and wider angle cameras.

TL;DR: The AMI transcription system for speech in meetings developed in collaboration by five research groups includes generic techniques such as discriminative and speaker adaptive training, vocal tract length normalisation, heteroscedastic linear discriminant analysis, maximum likelihood linear regression, and phone posterior based features, as well as techniques specifically designed for meeting data.