N06-1053 |
literature for indexing spoken words in
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audio recordings
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. The TREC ( Text REtrieval Conference
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H94-1073 |
retrieval of speech documents , i.e.
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audio recordings
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containing spoken text . The
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H05-1119 |
problem of indexing spoken words in
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audio recordings
|
. The TREC ( Text REtrieval Conference
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H94-1073 |
retrieval of speech documents , i.e.
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audio recordings
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containing spoken text \ -LSB-
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P03-1071 |
automatically divide text documents ,
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audio recordings
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, or video segments , into topically
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H05-1119 |
searching the spoken content of the
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audio recording
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. Several approaches have been
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H05-1119 |
system to search directly the
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audio recordings
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by key phrases . We have identified
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N09-3009 |
persuasive dialog corpus consisting of
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audio recordings
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of 10 interactions averaging
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A00-2025 |
Table 1 ) . Looking at the four
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audio recordings
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individually , we see that the
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P06-2042 |
transcriptions of the speeches as well as
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audio recordings
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of them . Approximately one tenth
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C04-1159 |
transcriptions of speeches as well as
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audio recordings
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. Approximately one tenth of
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C02-2003 |
the voice search system using
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audio recordings
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that we collected for this purpose
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H05-1119 |
phrases users want to use . Third ,
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audio recordings
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will accumulate . When the audio
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E12-1052 |
corpus . Unfor - tunately , the
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audio recordings
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of the first recording day were
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E09-1039 |
subjects , 11 women and 10 men . All
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audio recordings
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, interviews and discus - sions
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H05-1119 |
1997 ) . She has shown that the
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audio recordings
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are valuable to users if portions
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N09-5003 |
use a web interface to play the
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audio recording
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and create phonetic transcriptions
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J02-4003 |
transcripts in tandem with the original
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audio recording
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. Although their interface helps
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P05-2021 |
which are expected to appear in
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audio recordings
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might be collected and added
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N09-1072 |
shoulder sash , thus resulting in two
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audio recordings
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of the approximately 1100 4-minute
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