P09-1085 also play an important role in spoken document retrieval . This extends the applicability
N04-1017 . The effects of OOV words in spoken document retrieval are discussed by Woodland et
P09-1085 ASR but also have their roles in spoken document retrieval ( SDR ) . It has been shown that
N04-1017 has different properties than spoken document retrieval for broadcast news . Although
E09-1002 the situation in the field of spoken document retrieval . For many A/V collections with
H01-1060 We focus on the cross-language spoken document retrieval component of the tracking task
E09-1028 applications such as word spotting and spoken document retrieval . In the following , we present
P09-1085 performance of a character - based spoken document retrieval system . 1 Introduction Generally
N04-1017 browsing . This is not exactly spoken document retrieval . In fact , it is more similar
N04-1017 REtrieval Conference ( TREC ) had a spoken document retrieval ( SDR ) track with many participants
P05-3011 document length of 391 segments . 5.1 Spoken Document Retrieval Our aim is to narrow the gap
P05-1055 PSPL/3-gram lattices versus 1-best . 6.3 Spoken Document Retrieval Our aim is to narrow the gap
P01-1002 large proportion of voice over . 6 Spoken Document Retrieval The automatically generated partition
acl-2001-inv1 large proportion of voice over . 6 Spoken Document Retrieval The automatically generated partition
P08-1054 manipulation of content than the spoken document retrieval tasks of recent NIST fame ( 1997
D08-1041 evaluated their effectiveness in spoken document retrieval ( SDR ) . Both approaches use
N06-5004 previous projects in the area of spoken document retrieval , issues of automatic transcription
C02-1098 evaluated in a subtask " SDR ( Spoken Document Retrieval ) track " at TREC ( Text REtrieval
H01-1074 track , the query track , the spoken document retrieval track , and the web track -LSB-
P03-1032 has been employed effectively in spoken document retrieval ( Singhal et al , 1999 and Srinivasan
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