N10-1001 models to automatically segment meeting recordings . Meetings can be usefully segmented
H01-1051 downsample the wide-band signals of the meeting recordings . The language model contained
P07-1127 meeting ? 3 . Recordings : the meeting recordings ( audio , visual , transcription
N10-1001 corpus contains over 100 hours of meeting recordings , with the different recording
N07-1004 four meetings . Each series of meeting recordings uses four distinctive speakers
N13-1109 consists of naturally occurring meetings recordings . This corpus is widely used
W04-2328 particularly relevant to a general-domain meeting recording application . The DA tags in
N10-1001 projects was a multimodal corpus of meeting recordings , annotated at a number of different
N06-1047 the challenges of summarizing meeting recordings : namely , that utterances can
N06-1047 summarization system applied to meeting recordings from the ICSI Meetings corpus
W04-2313 were also able to listen to the meeting recordings . 4.2 First Experiment : Annotation
N10-1006 high speech recognition errors on meeting recordings . In this paper we investigated
H01-1003 of a number of internal group meeting recordings ( about one hour long each )
N06-2014 2004 ) , using a subset of ICSI meeting recording corpus ( Janin et al. , 2003
N03-2012 experiments are based on a subset of meeting recordings collected and transcribed by
W04-0710 references made to documents in meeting recordings by linking referring expressions
N10-1001 interpretation ( section 4 ) of multimodal meeting recordings , application prototypes ( section
H01-1051 be simultaneously recorded . A meeting recording infrastructure is also being
W04-2328 dialogue understanding for multiparty meeting recording and retrieval ap - plications
N12-1041 multi-party interaction found in meeting recordings , performing extractive summarization
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