2005 spring NIST rich transcription (RT-05S) conference meeting evaluation set.

2005 spring NIST rich transcription (RT-05S) conference meeting evaluation set.

Saved in:
Bibliographic Details
Imprint:[Philadelphia, PA] : Linguistic Data Consortium, c2011.
Description:3 DVD-ROM ; 4 3/4 in.
Language:English
Subject:
Speech processing systems.
Discourse analysis -- Data processing.
English language -- Discourse analysis -- Data processing.
Automatic speech recognition -- Databases.
Automatic speech recognition.
Discourse analysis -- Data processing.
English language -- Discourse analysis -- Data processing.
Speech processing systems.
Databases.
Format: DVD Video E-Resource
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8509189
Hidden Bibliographic Details
Varying Form of Title:Title in LDC online catalog: 2005 spring NIST rich transcription (RT-05S) evaluation set
Other authors / contributors:Linguistic Data Consortium.
NIST Multimodal Information Group.
ISBN:158563588X
9781585635887
Notes:Title from disc label.
Author: NIST Multimodal Information Group.
Data type: Speech, text.
Date source: Meeting speech.
Applications: "Diarization, discourse analysis, metadata extraction, speaker identification, speaker verification, speech recognition".
"LDC2011S06".
Summary:"2005 spring NIST rich transcription (RT-05S) conference meeting evaluation set was developed by LDC and NIST (National Institute of Standards and Technology). It contains approximately 78 hours of English meeting speech, reference transcripts and other material used in the RT spring 2005 evaluation. Rich transcription (RT) is broadly defined as a fusion of speech-to-text (STT) technology and metadata extraction technologies providing the bases for the generation of more usable transcriptions of human-human speech in meetings. LDC has also released 2004 spring NIST rich transcription (RT-04S) development data LDC2007S11 and 2004 spring NIST rich transcription (RT-04S) evaluation data LDC2007S12." -- LDC online catalogue.

Similar Items

Similar Items