Abstract Machine learning methods strive to acquire a robust model during the training
process that can effectively generalize to test samples, even in the presence of distribution …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

This paper reports on activites at LIMSI over the last few years directed at the transcription of
broadcast news data. We describe our development work in moving from laboratory read …

In many applications, like indexing of broadcast news or surveillance applications, the input
data consists of a continuous, unsegmented audio stream. Speech recognition technology …

This thesis shows research performed into the topic of speaker diarization for meeting
rooms. It looks into the algorithms and the implementation of an offline speaker …

This year the Center for Intelligent Information Retrieval (CIIR) at the University of
Massachusetts participated in only four of the tracks that were part of the TREC-7 workshop …

Over the last 20 years, approaches to designing speech and language processing
algorithms have moved from methods based on linguistics and speech science to data …

INFORMATION TO USERS Page 1 INFORMATION TO USERS This manuscript has been
reproduced from the microfilm master. UMI films the text directly from the original or copy …

Continuing progress in the automatic transcription of broadcast speech via speech
recognition has raised the possibility of applying information retrieval techniques to the …

This paper presents the recent development of the HTK broadcast news transcription
system. Previously we have used data type specific modelling based on adapted Wall Street …